Methods and compositions for diagnosis and prognosis of renal injury and renal failure

ABSTRACT

The present invention relates to methods and compositions for monitoring, diagnosis, prognosis, and determination of treatment regimens in sepsis patients . In particular, the invention relates to using assays that detect one or more biomarkers selected from the group consisting of Insulin-like growth factor-binding protein 7, Beta-2-glycoprotein 1, Metalloproteinase inhibitor 2, Alpha-1 Antitrypsin, Leukocyte elastase, Serum Amyloid P Component, C—X—C motif chemokine 6, Immunoglobulin A, Immunoglobulin G subclass I, C—C motif chemokine 24, Neutrophil collagenase, Cathepsin D, C—X—C motif chemokine 13, Involucrin, Interleukin-6 receptor subunit beta, Hepatocyte Growth Factor, CXCL-1, -2, -3, Immunoglobulin G subclass II, Metalloproteinase inhibitor 4, C—C motif chemokine 18, Matrilysin, C—X—C motif chemokine 11, and Antileukoproteinase as diagnostic and prognostic biomarker assays of renal injury in the sepsis patient.

This application claims priority to U.S. Provisional Patent Application 61/568,447, filed Dec. 8, 2011, and to U.S. Provisional Patent Application 61/593,561, filed Feb. 1, 2012, each of which is hereby incorporated by reference in its entirety.

BACKGROUND OF THE INVENTION

The following discussion of the background of the invention is merely provided to aid the reader in understanding the invention and is not admitted to describe or constitute prior art to the present invention.

The term “sepsis” has been used to describe a variety of clinical conditions related to systemic manifestations of inflammation accompanied by an infection. Because of clinical similarities to inflammatory responses secondary to non-infectious etiologies, identifying sepsis has been a particularly challenging diagnostic problem. Recently, the American College of Chest Physicians and the American Society of Critical Care Medicine (Bone et al., Chest 101: 1644-53, 1992) published definitions for “Systemic Inflammatory Response Syndrome” (or “SIRS”), which refers generally to a severe systemic response to an infectious or non-infectious insult, and for the related syndromes “sepsis,” “severe sepsis,” and “septic shock,” and extending to multiple organ dysfunction syndrome (“MODS”). These definitions, described below, are intended for each of these phrases for the purposes of the present application.

“SIRS” refers to a condition that exhibits two or more of the following:

a temperature >38° C. or <36° C.; a heart rate of >90 heats per minute (tachycardia); a respiratory rate of >20 breaths per minute (tachypnea) or a P_(a)CO₂<4.3 kPa; and a white blood cell count >12,000 per mm³, <4,000 per mm³, or >10% immature (band) forms.

“Sepsis” refers to SIRS, further accompanied by a clinically evident or microbiologically confirmed infection. This infection may be bacterial, fungal, parasitic, or viral.

“Severe sepsis” refers to a subset of sepsis patients, in which sepsis is further accompanied by organ hypoperfusion made evident by at least one sign of organ dysfunction such as hypoxemia, oliguria, metabolic acidosis, or altered cerebral function.

“Septic shock” refers to a subset of severe sepsis patients, in which severe sepsis is further accompanied by hypotension, made evident by a systolic blood pressure <90 mm Hg, or the requirement for pharmaceutical intervention to maintain blood pressure.

MODS (multiple organ dysfunction syndrome) is the presence of altered organ function in a patient who is acutely ill such that homeostasis cannot be maintained without intervention. Primary MODS is the direct result of a well-defined insult in which organ dysfunction occurs early and can be directly attributable to the insult itself. Secondary MODS develops as a consequence of a host response and is identified within the context of SIRS.

A systemic inflammatory response leading to a diagnosis of SIRS may be related to both infection and to numerous non-infective etiologies, including burns, pancreatitis, trauma, heat stroke, and neoplasia. While conceptually it may be relatively simple to distinguish between sepsis and non-septic SIRS, no diagnostic tools have been described to unambiguously distinguish these related conditions. See, e.g., Llewelyn and Cohen, Int. Care Med. 27: S10-S32, 200L For example, because more than 90% of sepsis cases involve bacterial infection, the “gold standard” for confirming infection has been microbial growth from blood, urine, pleural fluid, cerebrospinal fluid, peritoneal fluid, synnovial fluid, sputum, or other tissue specimens. Such culture has been reported, however, to fail to confirm 50% or more of patients exhibiting strong clinical evidence of sepsis. See, e.g., Jaimes et al., Int. Care Med 29: 1368-71, published electronically Jun. 26, 2003.

Development of acute kidney injury (AKI) during sepsis increases patient morbidity, predicts higher mortality, has a significant effect on multiple organ functions, is associated with an increased length of stay in the intensive care unit, and hence consumes considerable healthcare resources. Several authors have noted that, when compared with AKI of nonseptic origin, septic AKI is characterized by a distinct pathophysiology and therefore requires a different approach. Sepsis-related AKI has been described in terms of elevated and imbalanced pro- and anti-inflammatory mediators (the so-called “peak concentration hypothesis”), coupled with severe endothelial dysfunction and a perturbed coagulation cascade operate synergistically to induce chemically and biologically mediated kidney injury. Major impediments to progress in understanding, early diagnosis, and application of appropriate therapeutic modalities in sepsis-induced AKI include limited histopathologic information, few animal models that closely mimic human sepsis, and a relative shortage of specific diagnostic tools. See, e.g., Zarjou and Agarwal, J. Am. Soc. Nephrol. 22: 999-1006, 2011; Ronco et al., Clin. J. Am. Soc. Nephrol. 3: 531-44, 2008.

These limitations underscore the need for better methods to evaluate sepsis patients in order to identify those most at risk for AKI, particularly in the early and subclinical stages, but also in later stages when recovery and repair of the kidney can occur. Furthermore, there is a need to better identify patients who are at risk of having an AKI.

BRIEF SUMMARY OF THE INVENTION

It is an object of the invention to provide methods and compositions for evaluating renal function in a sepsis patient diagnosed with sepsis. As described herein, measurement of one or more biomarkers selected from the group consisting of Insulin-like growth factor-binding protein 7, Beta-2-glycoprotein 1, Metalloproteinase inhibitor 2, Alpha-1 Antitrypsin, Leukocyte elastase, Serum Amyloid P Component, C—X—C motif chemokine 6, Immunoglobulin A, Immunoglobulin G subclass I, C—C motif chemokine 24, Neutrophil collagenase, Cathepsin D, C—X—C motif chemokine 13, Involucrin, Interleukin-6 receptor subunit beta, Hepatocyte Growth Factor, CXCL-1, -2, -3, Immunoglobulin G subclass II, Metalloproteinase inhibitor 4, C—C motif chemokine 18, Matrilysin, C—X—C motif chemokine 11, and Antileukoproteinase (referred to herein as a “kidney injury marker”) can be used for diagnosis, prognosis, risk stratification, staging, monitoring, categorizing and determination of further diagnosis and treatment regimens in sepsis patients.

The kidney injury markers of the present invention may be used, individually or in panels comprising a plurality of kidney injury markers, for risk stratification (that is, to identify sepsis patients at risk for a future injury to renal function, for future progression to reduced renal function, for future progression to ARF, for future improvement in renal function, etc.); for diagnosis of existing disease (that is, to identify sepsis patients who have suffered an injury to renal function, who have progressed to reduced renal function, who have progressed to ARF, etc.); for monitoring for deterioration or improvement of renal function; and for predicting a future medical outcome, such as improved or worsening renal function, a decreased or increased mortality risk, a decreased or increased risk that a sepsis patient will require renal replacement therapy (i.e., hemodialysis, peritoneal dialysis, hemofiltration, and/or renal transplantation, a decreased or increased risk that a sepsis patient will recover from an injury to renal function, a decreased or increased risk that a sepsis patient will recover from ARF, a decreased or increased risk that a sepsis patient will progress to end stage renal disease, a decreased or increased risk that a sepsis patient will progress to chronic renal failure, a decreased or increased risk that a sepsis patient will suffer rejection of a transplanted kidney, etc.

In a first aspect, the present invention relates to methods for evaluating renal status in a sepsis patient. These methods comprise performing an assay method that is configured to detect one or more biomarkers selected from the group consisting of Insulin-like growth factor-binding protein 7, Beta-2-glycoprotein 1, Metalloproteinase inhibitor 2, Alpha-1 Antitrypsin, Leukocyte elastase, Serum Amyloid P Component, C—X—C motif chemokine 6, Immunoglobulin A, Immunoglobulin G subclass I, C—C motif chemokine 24, Neutrophil collagenase, Cathepsin D, C—X—C motif chemokine 13, Involucrin, Interleukin-6 receptor subunit beta, Hepatocyte Growth Factor, CXCL-1, -2, -3, Immunoglobulin G subclass II, Metalloproteinase inhibitor 4, C—C motif chemokine 18, Matrilysin, C—X—C motif chemokine 11, and Antileukoproteinase in a body fluid sample obtained from the sepsis patient. The assay result(s), for example measured concentration(s) of one or more biomarkers selected from the group consisting of Insulin-like growth factor-binding protein 7, Beta-2-glycoprotein 1, Metalloproteinase inhibitor 2, Alpha-1 Antitrypsin, Leukocyte elastase, Serum Amyloid P Component, C—X—C motif chemokine 6, Immunoglobulin A, Immunoglobulin G subclass I, C—C motif chemokine 24, Neutrophil collagenase, Cathepsin D, C—X—C motif chemokine 13, Involucrin, Interleukin-6 receptor subunit beta, Hepatocyte Growth Factor, CXCL,-1, -2, -3, Immunoglobulin G subclass 11, Metalloproteinase inhibitor 4, C—C motif chemokine 18, Matrilysin, C—X—C motif chemokine 11, and Antileukoproteinase is/are then correlated to the renal status of the sepsis patient. This correlation to renal status may include correlating the assay result(s) to one or more of risk stratification, diagnosis, prognosis, staging, classifying and monitoring of the sepsis patient as described herein. Thus, the present invention utilizes one or more kidney injury markers of the present invention for the evaluation of renal injury in a sepsis patient.

In certain embodiments, the methods for evaluating renal status described herein are methods for risk stratification of the sepsis patient; that is, assigning a likelihood of one or more future changes in renal status to the sepsis patient. In these embodiments, the assay result(s) is/are correlated to one or more such future changes. The following are preferred risk stratification embodiments.

In preferred risk stratification embodiments, these methods comprise determining a sepsis patient's risk for a future injury to renal function, and the assay result(s) is/are correlated to a likelihood of such a future injury to renal function. For example, the measured concentration(s) may each be compared to a threshold value. For a “positive going” kidney injury marker, an increased likelihood of suffering a future injury to renal function is assigned to the sepsis patient when the measured concentration is above the threshold, relative to a likelihood assigned when the measured concentration is below the threshold. For a “negative going” kidney injury marker, an increased likelihood of suffering a future injury to renal function is assigned to the sepsis patient when the measured concentration is below the threshold, relative to a likelihood assigned when the measured concentration is above the threshold.

In other preferred risk stratification embodiments, these methods comprise determining a sepsis patient's risk for future reduced renal function, and the assay result(s) is/are correlated to a likelihood of such reduced renal function. For example, the measured concentrations may each be compared to a threshold value. For a “positive going” kidney injury marker, an increased likelihood of suffering a future reduced renal function is assigned to the sepsis patient when the measured concentration is above the threshold, relative to a likelihood assigned when the measured concentration is below the threshold. For a “negative going” kidney injury marker, an increased likelihood of future reduced renal function is assigned to the sepsis patient when the measured concentration is below the threshold, relative to a likelihood assigned when the measured concentration is above the threshold.

In still other preferred risk stratification embodiments, these methods comprise determining a sepsis patient's likelihood for a future improvement in renal function, and the assay result(s) is/are correlated to a likelihood of such a future improvement in renal function. For example, the measured concentration(s) may each be compared to a threshold value. For a “positive going” kidney injury marker, an increased likelihood of a future improvement in renal function is assigned to the sepsis patient when the measured concentration is below the threshold, relative to a likelihood assigned when the measured concentration is above the threshold. For a “negative going” kidney injury marker, an increased likelihood of a future improvement in renal function is assigned to the sepsis patient when the measured concentration is above the threshold, relative to a likelihood assigned when the measured concentration is below the threshold.

In yet other preferred risk stratification embodiments, these methods comprise determining a sepsis patient's risk for progression to ARF, and the result(s) is/are correlated to a likelihood of such progression to ARF. For example, the measured concentration(s) may each be compared to a threshold value. For a “positive going” kidney injury marker, an increased likelihood of progression to ARF is assigned to the sepsis patient when the measured concentration is above the threshold, relative to a likelihood assigned when the measured concentration is below the threshold. For a “negative going” kidney injury marker, an increased likelihood of progression to ARF is assigned to the sepsis patient when the measured concentration is below the threshold, relative to a likelihood assigned when the measured concentration is above the threshold.

And in other preferred risk stratification embodiments, these methods comprise determining a sepsis patient's outcome risk, and the assay result(s) is/are correlated to a likelihood of the occurrence of a clinical outcome related to a renal injury suffered by the sepsis patient. For example, the measured concentration(s) may each be compared to a threshold value. For a “positive going” kidney injury marker, an increased likelihood of one or more of: acute kidney injury, progression to a worsening stage of AKI, mortality, a requirement for renal replacement therapy, a requirement for withdrawal of renal toxins, end stage renal disease, heart failure, stroke, myocardial infarction, progression to chronic kidney disease, etc., is assigned to the sepsis patient when the measured concentration is above the threshold, relative to a likelihood assigned when the measured concentration is below the threshold. For a “negative going” kidney injury marker, an increased likelihood of one or more of: acute kidney injury, progression to a worsening stage of AKI, mortality, a requirement for renal replacement therapy, a requirement for withdrawal of renal toxins, end stage renal disease, heart failure, stroke, myocardial infarction, progression to chronic kidney disease, etc., is assigned to the sepsis patient when the measured concentration is below the threshold, relative to a likelihood assigned when the measured concentration is above the threshold.

In such risk stratification embodiments, preferably the likelihood or risk assigned is that an event of interest is more or less likely to occur within 180 days of the time at which the body fluid sample is obtained from the sepsis patient. In particularly preferred embodiments, the likelihood or risk assigned relates to an event of interest occurring within a shorter time period such as 18 months, 120 days, 90 days, 60 days, 45 days, 30 days, 21 days, 14 days, 7 days, 5 days, 96 hours, 72 hours, 48 hours, 36 hours, 24 hours, 12 hours, or less. A risk at 0 hours of the time at which the body fluid sample is obtained from the sepsis patient is equivalent to diagnosis of a current condition.

In other embodiments, the methods for evaluating renal status described herein are methods for diagnosing a renal injury in a sepsis patient; that is, assessing whether or not a sepsis patient has suffered from an injury to renal function, reduced renal function, or ARF. In these embodiments, the assay result(s), for example measured concentration(s) of one or more biomarkers selected from the group consisting of Insulin-like growth factor-binding protein 7, Beta-2-glycoprotein 1, Metalloproteinase inhibitor 2, Alpha-1 Antitrypsin, Leukocyte elastase, Serum Amyloid P Component, C—X—C motif chemokine 6, Immunoglobulin A, Immunoglobulin G subclass I, C—C motif chemokine 24, Neutrophil collagenase, Cathepsin D, C—X—C motif chemokine 13, Involucrin, Interleukin-6 receptor subunit beta, Hepatocyte Growth Factor, CXCL-1, -2, -3, Immunoglobulin G subclass II, Metalloproteinase inhibitor 4, C—C motif chemokine 18, Matrilysin, C—X—C motif chemokine 11, and Antileukoproteinase is/are correlated to the occurrence or nonoccurrence of a change in renal status. The following are preferred diagnostic embodiments.

In preferred diagnostic embodiments, these methods comprise diagnosing the occurrence or nonoccurrence of an injury to renal function, and the assay result(s) is/are correlated to the occurrence or nonoccurrence of such an injury. For example, each of the measured concentration(s) may be compared to a threshold value. For a positive going marker, an increased likelihood of the occurrence of an injury to renal function is assigned to the sepsis patient when the measured concentration is above the threshold (relative to the likelihood assigned when the measured concentration is below the threshold); alternatively, when the measured concentration is below the threshold, an increased likelihood of the nonoccurrence of an injury to renal function may be assigned to the sepsis patient (relative to the likelihood assigned when the measured concentration is above the threshold). For a negative going marker, an increased likelihood of the occurrence of an injury to renal function is assigned to the sepsis patient when the measured concentration is below the threshold (relative to the likelihood assigned when the measured concentration is above the threshold); alternatively, when the measured concentration is above the threshold, an increased likelihood of the nonoccurrence of an injury to renal function may be assigned to the sepsis patient (relative to the likelihood assigned when the measured concentration is below the threshold).

In other preferred diagnostic embodiments, these methods comprise diagnosing the occurrence or nonoccurrence of reduced renal function, and the assay result(s) is/are correlated to the occurrence or nonoccurrence of an injury causing reduced renal function. For example, each of the measured concentration(s) may be compared to a threshold value. For a positive going marker, an increased likelihood of the occurrence of an injury causing reduced renal function is assigned to the sepsis patient when the measured concentration is above the threshold (relative to the likelihood assigned when the measured concentration is below the threshold); alternatively, when the measured concentration is below the threshold, an increased likelihood of the nonoccurrence of an injury causing reduced renal function may be assigned to the sepsis patient (relative to the likelihood assigned when the measured concentration is above the threshold). For a negative going marker, an increased likelihood of the occurrence of an injury causing reduced renal function is assigned to the sepsis patient when the measured concentration is below the threshold (relative to the likelihood assigned when the measured concentration is above the threshold); alternatively, when the measured concentration is above the threshold, an increased likelihood of the nonoccurrence of an injury causing reduced renal function may be assigned to the sepsis patient (relative to the likelihood assigned when the measured concentration is below the threshold).

In yet other preferred diagnostic embodiments, these methods comprise diagnosing the occurrence or nonoccurrence of ARF, and the assay result(s) is/are correlated to the occurrence or nonoccurrence of an injury causing ARF. For example, each of the measured concentration(s) may be compared to a threshold value. For a positive going marker, an increased likelihood of the occurrence of ARF is assigned to the sepsis patient when the measured concentration is above the threshold (relative to the likelihood assigned when the measured concentration is below the threshold); alternatively, when the measured concentration is below the threshold, an increased likelihood of the nonoccurrence of ARF may be assigned to the sepsis patient (relative to the likelihood assigned when the measured concentration is above the threshold). For a negative going marker, an increased likelihood of the occurrence of ARF is assigned to the sepsis patient when the measured concentration is below the threshold (relative to the likelihood assigned when the measured concentration is above the threshold); alternatively, when the measured concentration is above the threshold, an increased likelihood of the nonoccurrence of ARF may be assigned to the sepsis patient (relative to the likelihood assigned when the measured concentration is below the threshold).

In still other preferred diagnostic embodiments, these methods comprise diagnosing a sepsis patient as being in need of renal replacement therapy, and the assay result(s) is/are correlated to a need for renal replacement therapy. For example, each of the measured concentration(s) may be compared to a threshold value. For a positive going marker, an increased likelihood of the occurrence of an injury creating a need for renal replacement therapy is assigned to the sepsis patient when the measured concentration is above the threshold (relative to the likelihood assigned when the measured concentration is below the threshold); alternatively, when the measured concentration is below the threshold, an increased likelihood of the nonoccurrence of an injury creating a need for renal replacement therapy may be assigned to the sepsis patient (relative to the likelihood assigned when the measured concentration is above the threshold). For a negative going marker, an increased likelihood of the occurrence of an injury creating a need for renal replacement therapy is assigned to the sepsis patient when the measured concentration is below the threshold (relative to the likelihood assigned when the measured concentration is above the threshold); alternatively, when the measured concentration is above the threshold, an increased likelihood of the nonoccurrence of an injury creating a need for renal replacement therapy may be assigned to the sepsis patient (relative to the likelihood assigned when the measured concentration is below the threshold).

In still other preferred diagnostic embodiments, these methods comprise diagnosing a sepsis patient as being in need of renal transplantation, and the assay result(s0 is/are correlated to a need for renal transplantation. For example, each of the measured concentration(s) may be compared to a threshold value. For a positive going marker, an increased likelihood of the occurrence of an injury creating a need for renal transplantation is assigned to the sepsis patient when the measured concentration is above the threshold (relative to the likelihood assigned when the measured concentration is below the threshold); alternatively, when the measured concentration is below the threshold, an increased likelihood of the nonoccurrence of an injury creating a need for renal transplantation may be assigned to the sepsis patient (relative to the likelihood assigned when the measured concentration is above the threshold). For a negative going marker, an increased likelihood of the occurrence of an injury creating a need for renal transplantation is assigned to the sepsis patient when the measured concentration is below the threshold (relative to the likelihood assigned when the measured concentration is above the threshold); alternatively, when the measured concentration is above the threshold, an increased likelihood of the nonoccurrence of an injury creating a need for renal transplantation may be assigned to the sepsis patient (relative to the likelihood assigned when the measured concentration is below the threshold).

In still other embodiments, the methods for evaluating renal status described herein are methods for monitoring a renal injury in a sepsis patient; that is, assessing whether or not renal function is improving or worsening in a sepsis patient who has suffered from an injury to renal function, reduced renal function, or ARF. In these embodiments, the assay result(s), for example measured concentration(s) of one or more biomarkers selected from the group consisting of Insulin-like growth factor-binding protein 7, Beta-2-glycoprotein 1, Metalloproteinase inhibitor 2, Alpha-1 Antitrypsin, Leukocyte elastase, Serum Amyloid P Component, C—X—C motif chemokine 6, Immunoglobulin A, Immunoglobulin G subclass I, C—C motif chemokine 24, Neutrophil collagenase, Cathepsin D, C—X—C motif chemokine 13, Involucrin, Interleukin-6 receptor subunit beta, Hepatocyte Growth Factor, CXCL,-1, -2, -3, Immunoglobulin G subclass IT, Metalloproteinase inhibitor 4, C—C motif chemokine 18, Matrilysin, C—X—C motif chemokine 11, and Antileukoproteinase is/are correlated to the occurrence or nonoccurrence of a change in renal status. The following are preferred monitoring embodiments.

In preferred monitoring embodiments, these methods comprise monitoring renal status in a sepsis patient suffering from an injury to renal function, and the assay result(s) is/are correlated to the occurrence or nonoccurrence of a change in renal status in the sepsis patient. For example, the measured concentration(s) may be compared to a threshold value. For a positive going marker, when the measured concentration is above the threshold, a worsening of renal function may be assigned to the sepsis patient; alternatively, when the measured concentration is below the threshold, an improvement of renal function may be assigned to the sepsis patient. For a negative going marker, when the measured concentration is below the threshold, a worsening of renal function may be assigned to the sepsis patient; alternatively, when the measured concentration is above the threshold, an improvement of renal function may be assigned to the sepsis patient.

In other preferred monitoring embodiments, these methods comprise monitoring renal status in a sepsis patient suffering from reduced renal function, and the assay result(s) is/are correlated to the occurrence or nonoccurrence of a change in renal status in the sepsis patient. For example, the measured concentration(s) may be compared to a threshold value. For a positive going marker, when the measured concentration is above the threshold, a worsening of renal function may be assigned to the sepsis patient; alternatively, when the measured concentration is below the threshold, an improvement of renal function may be assigned to the sepsis patient. For a negative going marker, when the measured concentration is below the threshold, a worsening of renal function may be assigned to the sepsis patient; alternatively, when the measured concentration is above the threshold, an improvement of renal function may be assigned to the sepsis patient.

In yet other preferred monitoring embodiments, these methods comprise monitoring renal status in a sepsis patient suffering from acute renal failure, and the assay result(s) is/are correlated to the occurrence or nonoccurrence of a change in renal status in the sepsis patient. For example, the measured concentration(s) may be compared to a threshold value. For a positive going marker, when the measured concentration is above the threshold, a worsening of renal function may be assigned to the sepsis patient; alternatively, when the measured concentration is below the threshold, an improvement of renal function may be assigned to the sepsis patient. For a negative going marker, when the measured concentration is below the threshold, a worsening of renal function may be assigned to the sepsis patient; alternatively, when the measured concentration is above the threshold, an improvement of renal function may be assigned to the sepsis patient.

In still other embodiments, the methods for evaluating renal status described herein are methods for classifying a renal injury in a sepsis patient; that is, determining whether a renal injury in a sepsis patient is prerenal, intrinsic renal, or postrenal; and/or further subdividing these classes into subclasses such as acute tubular injury, acute glomerulonephritis acute tubulointerstitial nephritis, acute vascular nephropathy, or infiltrative disease; and/or assigning a likelihood that a sepsis patient will progress to a particular RIFLE stage. In these embodiments, the assay result(s), for example measured concentration(s) of one or more biomarkers selected from the group consisting of Insulin-like growth factor-binding protein 7, Beta-2-glycoprotein 1, Metalloproteinase inhibitor 2, Alpha-1 Antitrypsin, Leukocyte elastase, Serum Amyloid P Component, C—X—C motif chemokine 6, Immunoglobulin A, Immunoglobulin G subclass I, C—C motif chemokine 24, Neutrophil collagenase, Cathepsin D, C—X—C motif chemokine 13, Involucrin, Interleukin-6 receptor subunit beta, Hepatocyte Growth Factor, CXCL-1, -2, -3, Immunoglobulin G subclass II, Metalloproteinase inhibitor 4, C—C motif chemokine 18, Matrilysin, C—X—C motif chemokine 11, and Antileukoproteinase is/are correlated to a particular class and/or subclass. The following are preferred classification embodiments.

In preferred classification embodiments, these methods comprise determining whether a renal injury in a sepsis patient is prerenal, intrinsic renal, or postrenal; and/or further subdividing these classes into subclasses such as acute tubular injury, acute glomerulonephritis acute tubulointerstitial nephritis, acute vascular nephropathy, or infiltrative disease; and/or assigning a likelihood that a sepsis patient will progress to a particular RIFLE stage, and the assay result(s) is/are correlated to the injury classification for the sepsis patient. For example, the measured concentration may be compared to a threshold value, and when the measured concentration is above the threshold, a particular classification is assigned; alternatively, when the measured concentration is below the threshold, a different classification may be assigned to the sepsis patient.

A variety of methods may be used by the skilled artisan to arrive at a desired threshold value for use in these methods. For example, the threshold value may be determined from a population of normal sepsis patients by selecting a concentration representing the 75^(th), 85^(th), 90^(th), 95^(th), or 99^(th) percentile of a kidney injury marker measured in such normal sepsis patients. Alternatively, the threshold value may be determined from a “diseased” population of sepsis patients, e.g., those suffering from an injury or having a predisposition for an injury (e.g., progression to ARF or some other clinical outcome such as death, dialysis, renal transplantation, etc.), by selecting a concentration representing the 75^(th), 85^(th), 90^(th), 95^(th), or 99^(th) percentile of a kidney injury marker measured in such sepsis patients. In another alternative, the threshold value may be determined from a prior measurement of a kidney injury marker in the same sepsis patient; that is, a temporal change in the level of a kidney injury marker in the sepsis patient may be used to assign risk to the sepsis patient.

The foregoing discussion is not meant to imply, however, that the kidney injury markers of the present invention must be compared to corresponding individual thresholds. Methods for combining assay results can comprise the use of multivariate logistical regression, loglinear modeling, neural network analysis, n-of-m analysis, decision tree analysis, calculating ratios of markers, etc. This list is not meant to be limiting. In these methods, a composite result which is determined by combining individual markers may be treated as if it is itself a marker; that is, a threshold may be determined for the composite result as described herein for individual markers, and the composite result for an individual patient compared to this threshold.

The ability of a particular test to distinguish two populations can be established using ROC analysis. For example, ROC curves established from a “first” subpopulation which is predisposed to one or more future changes in renal status, and a “second” subpopulation which is not so predisposed can be used to calculate a ROC curve, and the area under the curve provides a measure of the quality of the test. Preferably, the tests described herein provide a ROC curve area greater than 0.5, preferably at least 0.6, more preferably 0.7, still more preferably at least 0.8, even more preferably at least 0.9, and most preferably at least 0.95.

In certain aspects, the measured concentration of one or more kidney injury markers, or a composite of such markers, may be treated as continuous variables. For example, any particular concentration can be converted into a corresponding probability of a future reduction in renal function for the sepsis patient, the occurrence of an injury, a classification, etc. In yet another alternative, a threshold that can provide an acceptable level of specificity and sensitivity in separating a population of sepsis patients into “bins” such as a “first” subpopulation (e.g., which is predisposed to one or more future changes in renal status, the occurrence of an injury, a classification, etc.) and a “second” subpopulation which is not so predisposed. A threshold value is selected to separate this first and second population by one or more of the following measures of test accuracy:

an odds ratio greater than 1, preferably at least about 2 or more or about 0.5 or less, more preferably at least about 3 or more or about 0.33 or less, still more preferably at least about 4 or more or about 0.25 or less, even more preferably at least about 5 or more or about 0.2 or less, and most preferably at least about 10 or more or about 0.1 or less; a specificity of greater than 0.5, preferably at least about 0.6, more preferably at least about 0.7, still more preferably at least about 0.8, even more preferably at least about 0.9 and most preferably at least about 0.95, with a corresponding sensitivity greater than 0.2, preferably greater than about 0.3, more preferably greater than about 0.4, still more preferably at least about 0.5, even more preferably about 0.6, yet more preferably greater than about 0.7, still more preferably greater than about 0.8, more preferably greater than about 0.9, and most preferably greater than about 0.95; a sensitivity of greater than 0.5, preferably at least about 0.6, more preferably at least about 0.7, still more preferably at least about 0.8, even more preferably at least about 0.9 and most preferably at least about 0.95, with a corresponding specificity greater than 0.2, preferably greater than about 0.3, more preferably greater than about 0.4, still more preferably at least about 0.5, even more preferably about 0.6, yet more preferably greater than about 0.7, still more preferably greater than about 0.8, more preferably greater than about 0.9, and most preferably greater than about 0.95; at least about 75% sensitivity, combined with at least about 75% specificity; a positive likelihood ratio (calculated as sensitivity/(1-specificity)) of greater than 1, at least about 2, more preferably at least about 3, still more preferably at least about 5, and most preferably at least about 10; or a negative likelihood ratio (calculated as (1-sensitivity)/specificity) of less than 1, less than or equal to about 0.5, more preferably less than or equal to about 0.3, and most preferably less than or equal to about 0.1.

The term “about” in the context of any of the above measurements refers to +/−5% of a given measurement.

Multiple thresholds may also be used to assess renal status in a sepsis patient. For example, a “first” subpopulation which is predisposed to one or more future changes in renal status, the occurrence of an injury, a classification, etc., and a “second” subpopulation which is not so predisposed can be combined into a single group. This group is then subdivided into three or more equal parts (known as tertiles, quartiles, quintiles, etc., depending on the number of subdivisions). An odds ratio is assigned to sepsis patients based on which subdivision they fall into. If one considers a tertile, the lowest or highest tertile can be used as a reference for comparison of the other subdivisions. This reference subdivision is assigned an odds ratio of 1. The second tertile is assigned an odds ratio that is relative to that first tertile. That is, someone in the second tertile might be 3 times more likely to suffer one or more future changes in renal status in comparison to someone in the first tertile. The third tertile is also assigned an odds ratio that is relative to that first tertile.

In certain embodiments, the assay method is an immunoassay. Antibodies for use in such assays will specifically hind a full length kidney injury marker of interest, and may also bind one or more polypeptides that are “related” thereto, as that term is defined hereinafter. Numerous immunoassay formats are known to those of skill in the art. Preferred body fluid samples are selected from the group consisting of urine, blood, serum, saliva, tears, and plasma.

The foregoing method steps should not be interpreted to mean that the kidney injury marker assay result(s) is/are used in isolation in the methods described herein. Rather, additional variables or other clinical indicia may be included in the methods described herein. For example, a risk stratification, diagnostic, classification, monitoring, etc. method may combine the assay result(s) with one or more variables measured for the sepsis patient selected from the group consisting of demographic information (e.g., weight, sex, age, race), medical history (e.g., family history, type of surgery, pre-existing disease such as aneurism, congestive heart failure, preeclampsia, eclampsia, diabetes mellitus, hypertension, coronary artery disease, proteinuria, renal insufficiency, or sepsis, type of toxin exposure such as NSAIDs, cyclosporines, tacrolimus, aminoglycosides, foscarnet, ethylene glycol, hemoglobin, myoglobin, ifosfamide, heavy metals, methotrexate, radiopaque contrast agents, or streptozotocin), clinical variables (e.g., blood pressure, temperature, respiration rate), risk scores (APACHE score, PREDICT score, TIMI Risk Score for UA/NSTEMI, Framingham Risk Score), a glomerular filtration rate, an estimated glomerular filtration rate, a urine production rate, a serum or plasma creatinine concentration, a urine creatinine concentration, a fractional excretion of sodium, a urine sodium concentration, a urine creatinine to serum or plasma creatinine ratio, a urine specific gravity, a urine osmolality, a urine urea nitrogen to plasma urea nitrogen ratio, a plasma BUN to creatnine ratio, a renal failure index calculated as urine sodium/(urine creatinine/plasma creatinine), a serum or plasma neutrophil gelatinase (NGAL) concentration, a urine NGAL concentration, a serum or plasma cystatin C concentration, a serum or plasma cardiac troponin concentration, a serum or plasma BNP concentration, a serum or plasma NTproBNP concentration, and a serum or plasma proBNP concentration. Other measures of renal function which may be combined with one or more kidney injury marker assay result(s) are described hereinafter and in Harrison's Principles of Internal Medicine, 17^(th) Ed., McGraw Hill, New York, pages 1741-1830, and Current Medical Diagnosis & Treatment 2008, 47^(th) Ed, McGraw Hill, New York, pages 785-815, each of which are hereby incorporated by reference in their entirety.

When more than one marker is measured, the individual markers may be measured in samples obtained at the same time, or may be determined from samples obtained at different (e.g., an earlier or later) times. The individual markers may also be measured on the same or different body fluid samples. For example, one kidney injury marker may be measured in a serum or plasma sample and another kidney injury marker may be measured in a urine sample. In addition, assignment of a likelihood may combine an individual kidney injury marker assay result with temporal changes in one or more additional variables.

In various related aspects, the present invention also relates to devices and kits for performing the methods described herein. Suitable kits comprise reagents sufficient for performing an assay for at least one of the described kidney injury markers, together with instructions for performing the described threshold comparisons.

In certain embodiments, reagents for performing such assays are provided in an assay device, and such assay devices may be included in such a kit. Preferred reagents can comprise one or more solid phase antibodies, the solid phase antibody comprising antibody that detects the intended biomarker target(s) bound to a solid support. In the case of sandwich immunoassays, such reagents can also include one or more detectably labeled antibodies, the detectably labeled antibody comprising antibody that detects the intended biomarker target(s) bound to a detectable label. Additional optional elements that may be provided as part of an assay device are described hereinafter.

Detectable labels may include molecules that are themselves detectable (e.g., fluorescent moieties, electrochemical labels, ecl (electrochemical luminescence) labels, metal chelates, colloidal metal particles, etc.) as well as molecules that may be indirectly detected by production of a detectable reaction product (e.g., enzymes such as horseradish peroxidase, alkaline phosphatase, etc.) or through the use of a specific binding molecule which itself may be detectable (e.g., a labeled antibody that binds to the second antibody, biotin, digoxigenin, maltose, oligohistidine, 2,4-dintrobenzene, phenylarsenate, ssDNA, dsDNA, etc.).

Generation of a signal from the signal development element can be performed using various optical, acoustical, and electrochemical methods well known in the art. Examples of detection modes include fluorescence, radiochemical detection, reflectance, absorbance, amperometry, conductance, impedance, interferometry, ellipsometry, etc. In certain of these methods, the solid phase antibody is coupled to a transducer (e.g., a diffraction grating, electrochemical sensor, etc) for generation of a signal, while in others, a signal is generated by a transducer that is spatially separate from the solid phase antibody (e.g., a fluorometer that employs an excitation light source and an optical detector). This list is not meant to be limiting. Antibody-based biosensors may also be employed to determine the presence or amount of analytes that optionally eliminate the need for a labeled molecule.

DETAILED DESCRIPTION OF THE INVENTION

The present invention relates to methods and compositions for diagnosis, differential diagnosis, risk stratification, monitoring, classifying and determination of treatment regimens in sepsis patients diagnosed with sepsis. In various embodiments, a measured concentration of one or more biomarkers selected from the group consisting of Insulin-like growth factor-binding protein 7, Beta-2-glycoprotein 1, Metalloproteinase inhibitor 2, Alpha-1 Antitrypsin, Leukocyte elastase, Serum Amyloid P Component, C—X—C motif chemokine 6, Immunoglobulin A, Immunoglobulin G subclass I, C—C motif chemokine 24, Neutrophil collagenase, Cathepsin D, C—X—C motif chemokine 13, Involucrin, Interleukin-6 receptor subunit beta, Hepatocyte Growth Factor, CXCL-1, -2, -3, Immunoglobulin G subclass II, Metalloproteinase inhibitor 4, C—C motif chemokine 18, Matrilysin, C—X—C motif chemokine 11, and Antileukoproteinase or one or more markers related thereto, are correlated to the renal status of the sepsis patient.

The kidney is responsible for water and solute excretion from the body. Its functions include maintenance of acid-base balance, regulation of electrolyte concentrations, control of blood volume, and regulation of blood pressure. As such, loss of kidney function through injury and/or disease results in substantial morbidity and mortality. A detailed discussion of renal injuries is provided in Harrison's Principles of Internal Medicine, 17^(th) Ed., McGraw Hill, New York, pages 1741-1830, which are hereby incorporated by reference in their entirety. Renal disease and/or injury may be acute or chronic. Acute and chronic kidney disease are described as follows (from Current Medical Diagnosis & Treatment 2008, 47^(th) Ed, McGraw Hill, New York, pages 785-815, which are hereby incorporated by reference in their entirety): “Acute renal failure is worsening of renal function over hours to days, resulting in the retention of nitrogenous wastes (such as urea nitrogen) and creatinine in the blood. Retention of these substances is called azotemia. Chronic renal failure (chronic kidney disease) results from an abnormal loss of renal function over months to years”.

Acute renal failure (ARF, also known as acute kidney injury, or AKI) is an abrupt (typically detected within about 48 hours to 1 week)reduction in glomerular filtration. This loss of filtration capacity results in retention of nitrogenous (urea and creatinine) and non-nitrogenous waste products that are normally excreted by the kidney, a reduction in urine output, or both. It is reported that ARF complicates about 5% of hospital admissions, 4-15% of cardiopulmonary bypass surgeries, and up to 30% of intensive care admissions. ARF may be categorized as prerenal, intrinsic renal, or postrenal in causation. Intrinsic renal disease can be further divided into glomerular, tubular, interstitial, and vascular abnormalities. Major causes of ARF are described in the following table, which is adapted from the Merck Manual, 17^(th) ed., Chapter 222, and which is hereby incorporated by reference in their entirety:

Type Risk Factors Prerenal ECF volume Excessive diuresis, hemorrhage, GI losses, depletion loss of intravascular fluid into the extravascular space (due to ascites, peritonitis, pancreatitis, or burns), loss of skin and mucus membranes, renal salt-and water-wasting states Low cardiac Cardiomyopathy, MI, cardiac tamponade, output pulmonary embolism, pulmonary hypertension, positive-pressure mechanical ventilation Low systemic Septic shock, liver failure, antihypertensive vascular drugs resistance Increased renal NSAIDs, cyclosporines, tacrolimus, vascular hypercalcemia, anaphylaxis, anesthetics, resistance renal artery obstruction, renal vein thrombosis, sepsis, hepatorenal syndrome Decreased ACE inhibitors or angiotensin II receptor efferent arteriolar blockers tone (leading to decreased GFR from reduced glomerular trans- capillary pressure, especially in patients with bilateral renal artery stenosis) Intrinsic Renal Acute tubular Ischemia (prolonged or severe prerenal state): injury surgery, hemorrhage, arterial or venous obstruction; Toxins: NSAIDs, cyclosporines, tacrolimus, aminoglycosides, foscarnet, ethylene glycol, hemoglobin, myoglobin, ifosfamide, heavy metals, methotrexate, radiopaque contrast agents, streptozotocin Acute ANCA-associated: Crescentic glomerulone- glomerulone- phritis, polyarteritis nodosa, Wegener's phritis granulomatosis; Anti-GBM glomerulone- phritis: Goodpasture's syndrome; Immune-complex: Lupus glomerulonephritis, postinfectious glomerulonephritis, cryoglobulinemic glomerulonephritis Acute tubuloin- Drug reaction (eg, β-lactams, NSAIDs, terstitial nephritis sulfonamides, ciprofloxacin, thiazide diuretics, furosemide, phenytoin, allopurinol, pyelonephritis, papillary necrosis Acute vascular Vasculitis, malignant hypertension, nephropathy thrombotic microangiopathies, scleroderma, atheroembolism Infiltrative Lymphoma, sarcoidosis, leukemia diseases Postrenal Tubular Uric acid (tumor lysis), sulfonamides, precipitation triamterene, acyclovir, indinavir, methotrexate, ethylene glycol ingestion, myeloma protein, myoglobin Ureteral Intrinsic: Calculi, clots, sloughed renal obstruction tissue, fungus ball, edema, malignancy, congenital defects; Extrinsic: Malignancy, retroperitoneal fibrosis, ureteral trauma during surgery or high impact injury Bladder Mechanical: Benign prostatic hyperplasia, obstruction prostate cancer, bladder cancer, urethral strictures, phimosis, paraphimosis, urethral valves, obstructed indwelling urinary catheter; Neurogenic: Anticholinergic drugs, upper or lower motor neuron lesion

In the case of ischemic ARF, the course of the disease may be divided into four phases. During an initiation phase, which lasts hours to days, reduced perfusion of the kidney is evolving into injury. Glomerular ultrafiltration reduces, the flow of filtrate is reduced due to debris within the tubules, and back leakage of filtrate through injured epithelium occurs. Renal injury can be mediated during this phase by reperfusion of the kidney. Initiation is followed by an extension phase which is characterized by continued ischemic injury and inflammation and may involve endothelial damage and vascular congestion. During the maintenance phase, lasting from 1 to 2 weeks, renal cell injury occurs, and glomerular filtration and urine output reaches a minimum. A recovery phase can follow in which the renal epithelium is repaired and GFR gradually recovers. Despite this, the survival rate of sepsis patients with ARF may be as low as about 60%.

A commonly reported criteria for defining and detecting AKI is an abrupt (typically within about 2-7 days or within a period of hospitalization) elevation of serum creatinine. Although the use of serum creatinine elevation to define and detect AKI is well established, the magnitude of the serum creatinine elevation and the time over which it is measured to define AKI varies considerably among publications. Traditionally, relatively large increases in serum creatinine such as 100%, 200%, an increase of at least 100% to a value over 2 mg/dL and other definitions were used to define AKI. However, the recent trend has been towards using smaller serum creatinine rises to define AKI. The relationship between serum creatinine rise, AKI and the associated health risks are reviewed in Praught and Shlipak, Curr Opin Nephrol Hypertens 14:265-270, 2005 and Chertow et al, J Am Soc Nephrol 16: 3365-3370, 2005, which, with the references listed therein, are hereby incorporated by reference in their entirety. As described in these publications, acute worsening renal function (AKI) and increased risk of death and other detrimental outcomes are now known to be associated with very small increases in serum creatinine. These increases may be determined as a relative (percent) value or a nominal value. Relative increases in serum creatinine as small as 20% from the pre-injury value have been reported to indicate acutely worsening renal function (AKI) and increased health risk, but the more commonly reported value to define AKI and increased health risk is a relative increase of at least 25%. Nominal increases as small as 0.3 mg/dL, 0.2 mg/dL or even 0.1 mg/dL have been reported to indicate worsening renal function and increased risk of death. Various time periods for the serum creatinine to rise to these threshold values have been used to define AKI, for example, ranging from 2 days, 3 days, 7 days, or a variable period defined as the time the patient is in the hospital or intensive care unit. These studies indicate there is not a particular threshold serum creatinine rise (or time period for the rise) for worsening renal function or AKI, but rather a continuous increase in risk with increasing magnitude of serum creatinine rise.

One study (Lassnigg et all, J Am Soc Nephrol 15:1597-1605, 2004, hereby incorporated by reference in its entirety) investigated both increases and decreases in serum creatinine. Patients with a mild fall in serum creatinine of −0.1 to −0.3 mg/dL, following heart surgery had the lowest mortality rate. Patients with a larger fall in serum creatinine (more than or equal to −0.4 mg/dL) or any increase in serum creatinine had a larger mortality rate. These findings caused the authors to conclude that even very subtle changes in renal function (as detected by small creatinine changes within 48 hours of surgery) seriously effect patient's outcomes. In an effort to reach consensus on a unified classification system for using serum creatinine to define AKI in clinical trials and in clinical practice, Bellomo et al., Crit Care. 8(4):R204-12, 2004, which is hereby incorporated by reference in its entirety, proposes the following classifications for stratifying AKI patients:

“Risk”: serum creatinine increased 1.5 fold from baseline OR urine production of <0.5 ml/kg body weight/hr for 6 hours; “Injury”: serum creatinine increased 2.0 fold from baseline OR urine production <0.5 ml/kg/hr for 12 h; “Failure”: serum creatinine increased 3.0 fold from baseline OR creatinine >355 μmol/l (with a rise of >44) or urine output below 0.3 ml/kg/hr for 24 h or anuria for at least 12 hours; And included two clinical outcomes: “Loss”: persistent need for renal replacement therapy for more than four weeks. “ESRD”: end stage renal disease—the need for dialysis for more than 3 months.

These criteria are called the RIFLE criteria, which provide a useful clinical tool to classify renal status. As discussed in Kellum, Crit. Care Med. 36: S141-45, 2008 and Ricci et al., Kidney Int. 73, 538-546, 2008, each hereby incorporated by reference in its entirety, the RIFLE criteria provide a uniform definition of AKI which has been validated in numerous studies.

More recently, Mehta et al., Crit. Care 11:R31 (doi:10.1186.cc5713), 2007, hereby incorporated by reference in its entirety, proposes the following similar classifications for stratifying AKI patients, which have been modified from RIFLE:

“Stage I”: increase in serum creatinine of more than or equal to 0.3 mg/dL (≥26.4 μmol/L) or increase to more than or equal to 150% (1.5-fold) from baseline OR urine output less than 0.5 mL/kg per hour for more than 6 hours; “Stage II”: increase in serum creatinine to more than 200% (>2-fold) from baseline OR urine output less than 0.5 mL/kg per hour for more than 12 hours; “Stage III”: increase in serum creatinine to more than 300% (>3-fold) from baseline OR serum creatinine ≥354 μmol/L accompanied by an acute increase of at least 44 μmol/L OR urine output less than 0.3 mL/kg per hour for 24 hours or anuria for 12 hours.

The CIN Consensus Working Panel (McCollough et al, Rev Cardiovasc Med. 2006; 7(4):177-197, hereby incorporated by reference in its entirety) uses a serum creatinine rise of 25% to define Contrast induced nephropathy (which is a type of AKI).Although various groups propose slightly different criteria for using serum creatinine to detect AKI, the consensus is that small changes in serum creatinine, such as 0.3 mg/dL or 25%, are sufficient to detect AKI (worsening renal function) and that the magnitude of the serum creatinine change is an indicator of the severity of the AKI and mortality risk.

Although serial measurement of serum creatinine over a period of days is an accepted method of detecting and diagnosing AKI and is considered one of the most important tools to evaluate AKI patients, serum creatinine is generally regarded to have several limitations in the diagnosis, assessment and monitoring of AKI patients. The time period for serum creatinine to rise to values (e.g., a 0.3 mg/dL or 25% rise) considered diagnostic for AKI can be 48 hours or longer depending on the definition used. Since cellular injury in AKI can occur over a period of hours, serum creatinine elevations detected at 48 hours or longer can be a late indicator of injury, and relying on serum creatinine can thus delay diagnosis of AKI. Furthermore, serum creatinine is not a good indicator of the exact kidney status and treatment needs during the most acute phases of AKI when kidney function is changing rapidly. Some patients with AKI will recover fully, some will need dialysis (either short term or long term) and some will have other detrimental outcomes including death, major adverse cardiac events and chronic kidney disease. Because serum creatinine is a marker of filtration rate, it does not differentiate between the causes of AKI (pre-renal, intrinsic renal, post-renal obstruction, atheroembolic, etc) or the category or location of injury in intrinsic renal disease (for example, tubular, glomerular or interstitial in origin). Urine output is similarly limited, Knowing these things can be of vital importance in managing and treating patients with AKI.

For purposes of this document, the following definitions apply:

As used herein, an “injury to renal function” is an abrupt (within 14 days, preferably within 7 days, more preferably within 72 hours, and still more preferably within 48 hours) measurable reduction in a measure of renal function. Such an injury may be identified, for example, by a decrease in glomerular filtration rate or estimated GFR, a reduction in urine output, an increase in serum creatinine, an increase in serum cystatin C, a requirement for renal replacement therapy, etc. “Improvement in Renal Function” is an abrupt (within 14 days, preferably within 7 days, more preferably within 72 hours, and still more preferably within 48 hours) measurable increase in a measure of renal function. Preferred methods for measuring and/or estimating GFR are described hereinafter.

As used herein, “reduced renal function” is an abrupt (within 14 days, preferably within 7 days, more preferably within 72 hours, and still more preferably within 48 hours) reduction in kidney function identified by an absolute increase in serum creatinine of greater than or equal to 0.1 mg/dL (≥8.8 mol/L), a percentage increase in serum creatinine of greater than or equal to 20% (1.2-fold from baseline), or a reduction in urine output (documented oliguria of less than 0. 5 ml/kg per hour).

As used herein, “acute renal failure” or “ARF” is an abrupt (within 14 days, preferably within 7 days, more preferably within 72 hours, and still more preferably within 48 hours) reduction in kidney function identified by an absolute increase in serum creatinine of greater than or equal to 0.3 mg/dl (≥26.4 μmap, a percentage increase in serum creatinine of greater than or equal to 50% (1. 5-fold from baseline), or a reduction in urine output (documented oliguria of less than 0.5 ml/kg per hour for at least 6 hours). This term is synonymous with “acute kidney injury” or “AKI.”

As used herein, the term “Insulin-like growth factor-binding protein 7” or “IGFBP7” refers to one or more polypeptides present in a biological sample that are derived from the Insulin-like growth factor-binding protein 7 precursor (human precursor: Swiss-Prot Q16270 (SEQ ID NO: 1))

        10         20         30         40 MERPSLRALL LGAAGLLLLL LPLSSSSSSD TCGPCEPASC         50         60         70         80 PPLPPLGCLL GETRDACGCC PMCARGEGEP CGGGGAGRGY         90        100        110        120 CAPGMECVKS RKRRKGKAGA AAGGPGVSGV CVCKSRYPVC        130        140        150        160 GSDGTTYPSG CQLRAASQRA ESRGEKAITQ VSKGTCEQGP        170        180        190        200 SIVTPPKDIW NVTGAQVYLS CEVIGIPTPV LIWNKVKRGH        210        220        230        240 YGVQRTELLP GDRDNLAIQT RGGPEKHEVT GWVLVSPLSK        250        260        270        280 EDAGEYECHA SNSQGQASAS AKITVVDALH EIPVKKGEGA EL

The following domains have been identified in Insulin-like growth factor-binding protein 7:

Residues Length Domain ID  1-26  26 Signal peptide 27-282 256 Insulin-like growth factor-binding protein 7

As used herein, the term “Beta-2-glycoprotein 1” refers to one or polypeptides present in a biological sample that are derived from the Beta-2-glycoprotein 1 precursor (human precursor: Swiss-Prot P02749 (SEQ ID NO: 2)).

        10         20         30 MISPVLILFS SFLCHVAIAG RTCPKPDDLP         40         50         60 FSTVVPLKTF YEPGEEITYS CKPGYVSRGG         70         80         90 MRKFICPLTG LWPINTLKCT PRVCPFAGIL        100        110        120 ENGAVRYTTF EYPNTISFSC NTGFYLNGAD        130        140        150 SAKCTEEGKW SPELPVCAPI ICPPPSIPTF        160        170        180 ATLRVYKPSA GNNSLYRDTA VFECLPQHAM        190        200        210 FGNDTITCTT HGNWTKLPEC REVKCPFPSR        220        230        240 PDNGFVNYPA KPTLYYKDKA TFGCHDGYSL        250        260        270 DGPEEIECTK LGNWSAMPSC KASCKVPVKK        280        290        300 ATVVYQGERV KIQEKFKNGM LHGDKVSFFC        310        320        330  KNKEKKCSYT EDAQCIDGTI EVPKCFKEHS        340 SLAFWKTDAS DVKPC

The following domains have been identified in Beta-2-glycoprotein 1:

Residues Length Domain ID  1-19  19 Signal sequence 20-345 326 Beta-2-glycoprotein 1

In addition, several naturally occurring variants have been identified:

Residue Change  5 V to A 107 S to N 154 R to H 266 V to L 325 C to G 335 W to S

As used herein, the term “Metalloproteinase inhibitor 2” refers to one or more polypeptides present in a biological sample that are derived from the Metalloproteinase inhibitor 2 precursor (human precursor: Swiss-Prot P16035 (SEQ ID NO: 3)).

        10         20         30 MGAAARTLRL ALGLLLLATL LRPADACSCS         40         50         60 PVHPQQAFCN ADVVIRAKAV SEKEVDSGND         70         80         90 IYGNPIKRIQ YEIKQIKMFK GPEKDIEFIY        100       110       120 TAPSSAVCGV SLDVGGKKEY LIAGKAEGDG        130        140        150 KMHITLCDFI VPWDTLSTTQ KKSLNHRYQM        160        170        180 GCECKITRCP MIPCYISSPD ECLWMDWVTE        190       200       210 KNINGHQAKF FACIKRSDGS CAWYRGAAPP        220 KQEFLDIEDP

The following domains have been identified in Metalloproteinase inhibitor 2:

Residues Length Domain ID  1-26  26 Signal peptide 27-220 194 Metalloproteinase inhibitor 2

As used herein, the term “alpha-1-antitrypsin” refers to one or more polypeptides present in a biological sample that are derived from the alpha-1 -antitrypsin precursor (human precursor: Swiss-Prot P01009 (SEQ ID NO: 4)).

        10         20         30 MPSSVSWGIL LLAGLCCLVP VSLAEDPQGD         40         50         60 AAQKTDTSHH DQDHPTFNKI TPNLAEFAFS         70         80         90 LYRQLAHQSN STNIFFSPVS IATAFAMLSL        100        110        120 GTKADTHDEI LEGLNFNLTE IPEAQIHEGF        130        140        150 QELLRTLNQP DSQLQLTTGN GLFLSEGLKL        160        170        180 VDKFLEDVKK LYHSEAFTVN FGDTEEAKKQ        190        200        210 INDYVEKGTQ GKIVDLVKEL DRDTVFALVN        220        230        240 YIFFKGKWER PFEVKDTEEE DFHVDQVTTV        250        260        270 KVPMMKRLGM FNIQHCKKLS SWVLLMKYLG        280        290        300 NATAIFFLPD EGKLQHLENE LTHDIITKFL        310        320        330 ENEDRRSASL HLPKLSITGT YDLKSVLGQL        340        350        360 GITKVFSNGA DLSGVTEEAP LKLSKAVHKA        370        380        390 VLTIDEKGTE AAGAMFLEAT PMSIPPEVKF        400        410 NKPFVFLMIE QNTKSPLFMG KVVNPTQK

The following domains have been identified in alpha-1-antitrypsin:

Residues Length Domain ID  1-24  24 signal sequence 25-418 394 alpha-1-antitrypsin

As used herein, the term “leukocyte elastase” refers to one or more polypeptides present in a biological sample that are derived from the leukocyte elastase precursor (human precursor: Swiss-Prot P08246 (SEQ ID NO: 5)).

        10         20         30 MTLGRRLACL FLACVLPALL LGGTALASEI         40         50         60 VGGRRARPHA WPFMVSLQLR GGHFCGATLI         70         80         90 APNFVMSAAH CVANVNVRAV RVVLGAHNLS        100        110        120 RREPTRQVFA VQRIFENGYD PVNLLNDIVI        130        140        150 LQLNGSATIN ANVQVAQLPA QGRRLGNGVQ        160        170        180 CLAMGWGLLG RNRGIASVLQ ELNVIVVISL        190        200        210 CRRSNVCTLV RGRQAGVCFG DSGSPLVCNG        220        230        240 LIHGIASFVR GGCASGLYPD AFAPVAQFVN        250        260 WIDSIIQRSE DNPCPHPRDP DPASRTH

The following domains have been identified in leukocyte elastase:

Residues Length Domain ID  1-27 315 signal sequence 28-29  2 pro-peptide 30-267 238 leukocyte elastase

As used herein, the term “Serum amyloid P-component” refers to one or more polypeptides present in a biological sample that are derived from the Serum amyloid P-component precursor (human precursor: Swiss-Prot P02743 (SEQ ID NO: 6)).

        10         20         30 MNKPLLWISV LTSLLEAFAH TDLSGKVFVF         40         50         60 PRESVTDHVN LITPLEKPLQ NFTLCFRAYS         70         80         90 DLSRAYSLFS YNTQGRDNEL LVYKERVGEY        100        110        120 SLYIGRHKVT SKVIEKFPAP VHICVSWESS        130        140        150 SGIAEFWING TPLVKKGLRQ GYFVEAQPKI        160        170        180 VLGQEQDSYG GKFDRSQSFV GEIGDLYMWD        190        200        210 SVLPPENILS AYQGTPLPAN ILDWQALNYE        220 IRGYVIIKPL VW

The following domains have been identified in Serum amyloid P-component:

Residues Length Domain ID  1-19  19 Signal peptide 20-223 204 Serum amyloid P-component 20-222 203 Serum amyloid P-component (1-203)

As used herein, the term “C—X—C motif chemokine 6” refers to one or more polypeptides present in a biological sample that are derived from the C—X—C motif chemokine 6 precursor (human precursor: Swiss-Prot P80162 (SEQ ID NO: 7))

        10         20         30 MSLPSSRAAR VPGPSGSLCA LLALLLLLTP         40         50         60 PGPLASAGPV SAVLTELRCT CLRVTLRVNP         70         80         90 KTIGKLQVFP AGPQCSKVEV VASLKNGKQV        100        110 CLDPEAPFLK KVIQKILDSG NKKN

The following domains have been identified in C—X—C motif chemokine 6:

Residues Length Domain ID 1-37 37 Signal peptide 38-114 77 C-X-C motif chemokine 6 40-114 75 C-X-C motif chemokine 6 (N-processed variant 1) 43-114 72 C-X-C motif chemokine 6 (N-processed variant 2) 46-114 69 C-X-C motif chemokine 6 (N-processed variant 3)

As used herein, the term “C—C motif chemokine 24” refers to one or more polypeptides present in a biological sample that are derived from the C—C motif chemokine 24 precursor (human precursor: Swiss-Prot 000175 (SEQ ID NO: 8)).

        10         20         30         40 MAGLMTIVTS LLFLGVCAHH IIPTGSVVIP SPCCMFFVSK         50         60         70         80 RIPENRVVSY QLSSRSTCLK AGVIFTTKKG QQFCGDPKQE         90        100        110 WVQRYMKNLD AKQKKASPRA RAVAVKGPVQ RYPGNQTTC 

The following domains have been identified in C—C motif chemokine 24:

Residues Length Domain ID 1-26 26 Signal peptide 27-119 93 C-C motif chemokine 24

As used herein, the term “Neutrophil collagenase” (also known as MMP-8 and matrix metalloproteinase 8) refers to one or more polypeptides present in a biological sample that are derived from the Neutrophil collagenase precursor (human precursor: Swiss-Prot P22894 (SEQ ID NO: 9)).

        10         20         30         40 MFSLKTLPFL LLLHVQISKA FPVSSKEKNT KTVQDYLEKF         50         60         70         80 YQLPSNQYQS TRKNGTNVIV EKLKEMQRFF GLNVTGKPNE         90        100        110        120 ETLDMMKKPR CGVPDSGGFM LTPGNPKWER TNLTYRIRNY         130        140        150        160 TPQLSEAEVE RAIKDAFELW SVASPLIFTR ISQGEADINI        170        180        190        200 AFYQRDHGDN SPFDGPNGIL AHAFQPGQGI GGDAHFDAEE        210        220        230        240 TWINTSANYN LFLVAAHEFG HSLGLAHSSD PGALMYPNYA        250        260        270        280 FRETSNYSLP QDDIDGIQAI YGLSSNPIQP TGPSTPKPCD        290        300        310        320 PSLTFDAITT LRGEILFFKD RYFWRRHPQL QRVEMNFISL        330        340        350        360 FWPSLPTGIQ AAYEDFDRDL IFLFKGNQYW ALSGYDILQG        370        380        390        400 YPKDISNYGF PSSVQAIDAA VFYRSKTYFF VNDQFWRYDN        410        420        430        440 QRQFMEPGYP KSISGAFPGI ESKVDAVFQQ EHFFHVFSGP        450        460 RYYAFDLIAQ RVTRVARGNK WLNCRYG

The following domains have been identified in Neutrophil collagenase:

Residues Length Domain ID  1-20 20 Signal peptide  21-100 80 Activation peptide 101-467 367 Neutrophil collagenase

As used herein, the term “Cathepsin D” refers to one or more polypeptides present in a biological sample that are derived from the Cathepsin D precursor (human precursor: Swiss-Prot P07339 (SEQ ID NO: 10)).

        10         20         30         40 MQPSSLLPLA LCLLAAPASA LVRIPLHKFT SIRRTMSEVG         50         60         70         80 GSVEDLIAKG PVSKYSQAVP AVTEGPIPEV LKNYMDAQYY         90        100        110        120 GEIGIGTPPQ CFTVVFDTGS SNLWVPSIHC KLLDIACWIH        130        140        150        160 HKYNSDKSST YVKNGTSFDI HYGSGSLSGY LSQDTVSVPC        170        180        190        200 QSASSASALG GVKVERQVFG EATKQPGITF IAAKFDGILG        210        220        230        240 MAYPRISVNN VLPVFDNLMQ QKLVDQNIFS FYLSRDPDAQ        250        260        270        280 PGGELMLGGT DSKYYKGSLS YLNVTRKAYW QVHLDQVEVA        290        300        310        320 SGLTLCKEGC EAIVDTGTSL MVGPVDEVRE LQKAIGAVPL        330        340        350        360 IQGEYMIPCE KVSTLPAITL KLGGKGYKLS PEDYTLKVSQ        370        380        390        400 AGKTLCLSGF MGMDIPPPSG PLWILGDVFI GRYYTVFDRD        410 NNRVGFAEAA RL

The following domains have been identified in Capthesin D:

Residues Length Domain ID  1-18 18 Signal peptide 19-64 46 Activation peptide  65-412 348 Cathepsin D  65-161 348 Cathepsin D light chain 169-412 348 Cathepsin D heavy chain

As used herein, the term “C—X—C Motif chemokine 13” refers to one or more polypeptides present in a biological sample that are derived from the C—X—C Motif chemokine 13 precursor (human precursor: Swiss-Prot 043927 (SEQ ID NO: 11)).

        10         20         30         40 MKFISTSLLL MLLVSSLSPV QGVLEVYYTS LRCRCVQESS         50         60         70         80 VFIPRRFIDR IQILPRGNGC PRKEIIVWKK NKSIVCVDPQ         90        100 AFWIQRMMEV LRKRSSSTLP VPVFKRKIP

The following domains have been identified in C—X—C Motif chemokine 13:

Residues Length Domain ID 1-22 22 Signal peptide 23-109 87 C-X-C Motif chemokine 13

As used herein, the term “Involucrin” refers to one or more polypeptides present in a biological sample that are derived from the Involucrin precursor (human precursor: Swiss-Prot P07476 (human precursor: SEQ ID NO: 12)).

        10         20         30         40 MSQQHTLPVT LSPALSQELL KTVPPPVNTH QEQMKQPTPL          50         60         70        80 PPPCQKVPVE LPVEVPSKQE EKHMTAVKGL PEQECEQQQK         90        100        110        120 EPQEQELQQQ HWEQHEEYQK AENPEQQLKQ EKTQRDQQLN        130        140        150        160 KQLEEEKKLL DQQLDQELVK RDEQLGMKKE QLLELPEQQE        170        180        190        200 GHLKHLEQQE GQLKHPEQQE GQLELPEQQE GQLELPEQQE        210        220        230        240 GQLELPEQQE GQLELPEQQE GQLELPEQQE GQLELPQQQE        250        260        270        280 GQLELSEQQE GQLELSEQQE GQLKHLEHQE GQLEVPEEQM        290        300        310        320 GQLKYLEQQE GQLKHLDQQE KQPELPEQQM GQLKHLEQQE        330        340        350        360 GQPKHLEQQE GQLEQLEEQE GQLKHLEQQE GQLEHLEHQE        370        380        390        400 GQLGLPEQQV LQLKQLEKQQ GQPKHLEEEE GQLKHLVQQE        410        420        430        440 GQLKHLVQQE GQLEQQERQV EHLEQQVGQL KHLEEQEGQL        450        460        470        480 KHLEQQQGQL EVPEQQVGQP KNLEQEEKQL ELPEQQEGQV        490        500        510        520 KHLEKQEAQL ELPEQQVGQP KHLEQQEKHL EHPEQQDGQL        530        540        550        560 KHLEQQEGQL KDLEQQKGQL EQPVFAPAPG QVQDIQPALP        570        580 TKGEVLLPVE HQQQKQEVQW PPKHK

As used herein, the term “Interleukin-6 receptor subunit beta” refers to one or more polypeptides present in a biological sample that are derived from the Interleukin-6 receptor subunit beta precursor (human precursor: Swiss-Prot P40189 (SEQ ID NO: 13))

        10         20         30         40 MLTLQTWLVQ ALFIFLTTES TGELLDPCGY ISPESPVVQL         50         60         70         80 HSNFTAVCVL KEKCMDYFHV NANYIVWKTN HFTIPKEQYT         90        100        110        120 IINRTASSVT FTDIASLNIQ LTCNILTFGQ LEQNVYGITI        130        140        150        160 ISGLPPEKPK NLSCIVNEGK KMRCEWDGGR ETHLETNFTL        170        180        190        200 KSEWATHKFA DCKAKRDTPT SCTVDYSTVY FVNIEVWVEA        210        220        230        240 ENALGKVTSD HINFDPVYKV KPNPPHNLSV INSEELSSIL        250        260        270        280 KLTWTNPSIK SVIILKYNIQ YRTKDASTWS QIPPEDTAST        290        300        310        320 RSSFTVQDLK PFTEYVFRIR CMKEDGKGYW SDWSEEASGI        330        340        350        360 TYEDRPSKAP SFWYKIDPSH TQGYRTVQLV WKTLPPFEAN        370        380        390        400 GKILDYEVTL TRWKSHLQNY TVNATKLTVN LTNDRYLATL        410        420        430        440 TVRNLVGKSD AAVLTIPACD FQATHPVMDL KAFPKDNMLW        450        460        470        480 VEWTTPRESV KKYILEWCVL SDKAPCITDW QQEDGTVHRT        490        500        510        520 YLRGNLAESK CYLITVTPVY ADGPGSPESI KAYLKQAPPS        530        540        550        560 KGPTVRTKKV GKNEAVLEWD QLPVDVQNGF IRNYTIFYRT        570        580        590        600 IIGNETAVNV DSSHTEYTLS SLTSDTLYMV RMAAYTDEGG        610        620        630        640 KDGPEFTFTT PKFAQGEIEA IVVPVCLAFL LTTLLGVLFC        650        660        670        680 FNKRDLIKKH IWPNVPDPSK SHIAQWSPHT PPRHNFNSKD        690        700        710        720 QMYSDGNFTD VSVVEIEAND KKPFPEDLKS LDLFKKEKIN        730        740        750        760 TEGHSSGIGG SSCMSSSRPS ISSSDENESS QNTSSTVQYS        770        780        790        800 TVVHSGYRHQ VPSVQVFSRS ESTQPLLDSE ERPEDLQLVD        810        820        830        840 HVDGGDGILP RQQYFKQNCS QHESSPDISH FERSKQVSSV        850        860        870        880 NEEDFVRLKQ QISDHISQSC GSGQMKMFQE VSAADAFGPG        890        900        910 TEGQVERFET VGMEAATDEG MPKSYLPQTV RQGGYMPQ

Most preferably, the Interleukin-6 receptor subunit beta assay detects one or more soluble forms of Interleukin-6 receptor subunit beta. Interleukin-6 receptor subunit beta is a type I membrane protein having a large extracellular domain, most or all of which is present in soluble forms of Interleukin-6 receptor subunit beta generated either through alternative splicing event which deletes all or a portion of the transmembrane domain, or by proteolysis of the membrane-bound form. In the case of an immunoassay, one or more antibodies that hind to epitopes within this extracellular domain may be used to detect these soluble form(s). The following domains have been identified in Interleukin-6 receptor subunit beta:

Residues Length Domain ID  1-22 22 Signal peptide  23-918 896 Interleukin-6 receptor subunit beta 642-918 277 Cytoplasmic domain 620-641 21 transmembrane domain  23-619 597 Extracellular domain 330-918 589 Missing in isoform 2 325-329 5 RPSKA (SEQ ID NO: 14) → NIASF (SEQ ID NO: 15) in isoform 2

As used herein, the term “Hepatocyte growth factor” refers to one or more polypeptides present in a biological sample that are derived from the Hepatocyte growth factor precursor (human precursor: Swiss-Prot P14210 (SEQ ID NO: 16)).

        10         20         30         40 MWVTKLLPAL LLQHVLLHLL LLPIAIPYAE GQRKRRNTIH         50         60         70         80 EFKKSAKTTL IKIDPALKIK TKKVNTADQC ANRCTRNKGL         90        100        110        120 PFTCKAFVFD KARKQCLWFP FNSMSSGVKK EFGHEFDLYE        130        140        150        160 NKDYIRNCII GKGRSYKGTV SITKSGIKCQ PWSSMIPHEH        170        180        190        200 SFLPSSYRGK DLQENYCRNP RGEEGGPWCF TSNPEVRYEV        210        220        230        240 CDIPQCSEVE CMTCNGESYR GLMDHTESGK ICQRWDHQTP        250        260        270        280 HRHKFLPERY PDKGFDDNYC RNPDGQPRPW CYTLDPHTRW        290        300        310        320 EYCAIKTCAD NTMNDTDVPL ETTECIQGQG EGYRGTVNTI        330        340        350        360 WNGIPCQRWD SQYPHEHDMT PENFKCKDLR ENYCRNPDGS        370        380        390        400 ESPWCFTTDP NIRVGYCSQI PNCDMSHGQD CYRGNGKNYM        410        420        430        440 GNLSQTRSGL TCSMWDKNME DLHRHIFWEP DASKLNENYC        450        460        470        480 RNPDDDAHGP WCYTGNPLIP WDYCPISRCE GDTTPTIVNL        490        500        510        520 DHPVISCAKT KQLRVVNGIP TRTNIGWMVS LRYRNKHICG        530        540        550        560 GSLIKESWVL TARQCFPSRD LKDYEAWLGI HDVHGRGDEK        570        580        590        600 CKQVLNVSQL VYGPEGSDLV LMKLARPAVL DDFVSTIDLP        610        620        630        640 NYGCTIPEKT SCSVYGWGYT GLINYDGLLR VAHLYIMGNE        650        660        670        680 KCSQHHRGKV TLNESEICAG AEKIGSGPCE GDYGGPLVCE        690        700        710        720 QHKMRMVLGV IVPGRGCAIP NRPGIFVRVA YYAKWIHKII LTYKVPQS

The following domains have been identified in Hepatocyte growth factor:

Residues Length Domain ID 1-31 31 signal sequence 32-494 463 Hepatocyte growth factor alpha chain 495-728  234 Hepatocyte growth factor beta chain

As used herein, the term “Metalloproteinase inhibitor 4” refers to one or polypeptides present in a biological sample that are derived from the Metalloproteinase inhibitor 4 precursor (human precursor: Swiss-Prot Q99727 (SEQ ID NO: 17)).

        10         20         30         40 MPGSPRPAPS WVLLLRLLAL LRPPGLGEAC SCAPAHPQQH         50         60         70         80 ICHSALVIRA KISSEKVVPA SADPADTEKM LRYEIKQIKM         90        100        110        120 FKGFEKVKDV QYIYTPFDSS LCGVKLEANS QKQYLLTGQV        130        140        150        160 LSDGKVFIHL CNYIEPWEDL SLVQRESLNH HYHLNCGCQI        170        180        190        200 TTCYTVPCTI SAPNECLWTD WLLERKLYGY QAQHYVCMKH        210        220 VDGTCSWYRG HLPLRKEFVD IVQP

The following domains have been identified in Metalloproteinase inhibitor 4:

Residues Length Domain ID 1-27 27 Signal sequence 28-224 197 Metalloproteinase inhibitor 4

As used herein, the term “C—C motif chemokine 18” refers to one or more polypeptides present in a biological sample that are derived from the C—C motif chemokine 18 precursor (human precursor: Swiss-Prot P55774 (SEQ ID NO: 18)).

        10         20         30         40 MKGLAAALLV LVCTMALCSC AQVGTNKELC CLVYTSWQIP         50         60         70         80 QKFIVDYSET SPQCPKPGVI LLTKRGRQIC ADPNKKWVQK YISDLKLNA

The following domains have been identified in C—C motif chemokine 18:

Residues Length Domain ID  1-20 20 Signal peptide 21-89 69 C-C motif chemokine 18 21-88 68 CCL 18 (1-68) 23-89 67 CCL 18 (3-69) 24-89 66 CCL 18 (4-69)

As used herein, the term “Matrilysin” refers to one or more polypeptides present in a biological sample that are derived from the Matrilysin precursor (Swiss-Prot P09237 (human precursor: SEQ ID NO: 19))

        10         20         30         40 MRLTVLCAVC LLPGSLALPL PQEAGGMSEL QWEQAQDYLK         50         60         70         80 RFYLYDSETK NANSLEAKLK EMQKFFGLPI TGMLNSRVIE         90        100 110               120 IMQKPRCGVP DVAEYSLFPN SPKWTSKVVT YRIVSYTRDL        130        140        150        160 PHITVDRLVS KALNMWGKEI PLHFRKVVWG TADIMIGFAR        170        180        190        200 GAHGDSYPFD GPGNTLAHAF APGTGLGGDA HFDEDERWTD        210        220        230        240 GSSLGINFLY AATHELGHSL GMGHSSDPNA VMYPTYGNGD        250        260 PQNFKLSQDD IKGIQKLYGK RSNSRKK

The following domains have been identified in Matrilysin:

Residues Length Domain ID  1-17 17 signal peptide 18-94 77 activation peptide  95-267 173 Matrilysin

As used herein, the term “C—X—C motif chemokine 11” refers to one or more polypeptides present in a biological sample that are derived from the C—X—C motif chemokine 11 precursor (human precursor: Swiss-Prot 014625 (SEQ ID NO: 20))

        10         20         30         40 MSVKGMAIAL AVILCATVVQ GFPMFKRGRC LCIGPGVKAV         50         60         70         80 KVADIEKASI MYPSNNCDKI EVIITLKENK GQRCLNPKSK         90 QARLIIKKVE RKNF

The following domains have been identified in C—X—C motif chemokine 11:

Residues Length Domain ID  1-21 21 signal peptide 22-94 73 C-X-C motif chemokine 11

As used herein, the term “C—X—C motif chemokines -1, -2, and -3” refers to one or more polypeptides present in a biological sample that are common to the C—X—C motif chemokines -1, -2, and -3 precursors (Swiss-Prot accession numbers of the human precursors: C—X—C motif chemokine -1 (P09341), -2 (P19875), and -3 (P19876)).

CXC motif chemokine-1 is also known as “Growth-regulated alpha protein” (human precursor Swiss-Prot P09341 (SEQ ID NO: 21)).

        10         20         30         40 MARAALSAAP SNPRLLRVAL LLLLLVAAGR RAAGASVATE         50         60         70         80 LRCQCLQTLQ GIHPKNIQSV NVKSPGPHCA QTEVIATLKN         90        100 GRKACLNPAS PIVKKIIEKM LNSDKSN

The following domains have been identified in Growth-regulated alpha protein:

Residues Length Domain ID 1-34 34 Signal peptide 35-107 73 Growth-regulated alpha protein 38-107 70 GRO-alpha (4-73) 39-107 69 GRO-alpha (5-73) 40-107 68 GRO-alpha (6-73)

CXC motif chemokine-2 is also known as “Macrophage inflammatory protein 2-alpha” (human precursor Swiss-Prot P19875 (SEQ ID NO: 22)).

        10         20         30         40 MARATLSAAP SNPRLLRVAL LLLLLVAASR RAAGAPLATE         50         60         70         80 LRCQCLQTLQ GIHLKNIQSV KVKSPGPHCA QTEVIATLKN         90        100 GQKACLNPAS PMVKKIIEKM LKNGKSN

The following domains have been identified in Macrophage inflammatory protein 2-alpha:

Residues Length Domain ID 1-34 34 Signal peptide 35-107 73 C-X-C motif chemokine 2 39-107 69 GRO-beta (5-73)

CXC motif chemokine-2 is also known as “Growth-regulated protein gamma” (human precursor Swiss-Prot P19876 (SEQ ID NO: 23)).

        10         20         30         40 MAHATLSAAP SNPRLLRVAL LLLLLVAASR RAAGASVVTE         50         60         70         80 LRCQCLQTLQ GIHLKNIQSV NVRSPGPHCA QTEVIATLKN         90        100 GKKACLNPAS PMVQKIIEKI LNKGSTN

The following domains have been identified in C—X—C motif chemokine 3:

Residues Length Domain ID 1-34 34 Signal peptide 35-107 73 C-X-C motif chemokine 3 39-107 73 GRO-gamma (5-73)

As used herein, the term “Antileukoproteinase” refers to one or more polypeptides present in a biological sample that are derived from the Antileukoproteinase precursor (Swiss-Prot P03973 (SEQ ID NO: 24)).

        10         20         30         40 MKSSGLFPFL VLLALGTLAP WAVEGSGKSF KAGVCPPKKS         50         60         70         80 AQCLRYKKPE CQSDWQCPGK KRCCPDTCGI KCLDPVDTPN         90        100        110        120 PTRRKPGKCP VTYGQCLMLN PPNFCEMDGQ CKRDLKCCMG        130 MCGKSCVSPV KA

The following domains have been identified in Antileukoproteinase:

Residues Length Domain ID 1-25 25 signal sequence 26-132 107 Antileukoproteinase

As used herein, the term “IgA” refers to an antibody having two subclasses (IgA1 and IgA2) and which can exist in a dimeric form linked by a J chain (called secretory IgA, or sIgA). In its secretory form, IgA is the main immunoglobulin found in mucous secretions, including tears, saliva, colostrum and secretions from the genito-urinary tract, gastrointestinal tractprostate and respiratory epithelium. It is also found in small amounts in blood. IgA may be measured separately from other immunoglobulins such as IgG or IgM, for example, using antibodies which bind to the IgA α-chain.

As used herein, the terms “IgG1” and “IgG subclass I” refer to subclass 1 of the glycoprotein immunoglobulin G (IgG), a major effector molecule of the humoral immune response in man. Antibodies of the IgG class express their predominant activity during a secondary antibody response. The basic immunoglobulin G molecule has a four-chain structure, comprising two identical heavy (H) chains and two identical light (L) chains, linked together by inter-chain disulfide bonds. Each heavy chain is encoded by 4 distinct types of gene segments, designated V_(H) (variable), D (diversity), J_(H) (joining) and C_(H)(constant). The variable region of the heavy chain is encoded by the V_(H), D and J_(H) segments. The light chains are encoded by the 3 gene segments, V_(L), J_(L) and C_(L). The variable region of the light chains is encoded by the V_(L) and J_(L) segments.

As used herein, the terms “IgG2” and “IgG subclass II” refer to subclass 2 of the glycoprotein immunoglobulin G (TgG), a major effector molecule of the humoral immune response in man. Antibodies of the IgG class express their predominant activity during a secondary antibody response. The basic immunoglobulin G molecule has a four-chain structure, comprising two identical heavy (H) chains and two identical light (L) chains, linked together by inter-chain disulfide bonds. Each heavy chain is encoded by 4 distinct types of gene segments, designated V_(H) (variable), D (diversity), J_(H) (joining) and C_(H)(constant). The variable region of the heavy chain is encoded by the V_(H), D and J_(H) segments. The light chains are encoded by the 3 gene segments, V_(L), J_(L) and C_(L). The variable region of the light chains is encoded by the V_(L) and J_(L) segments.

The length and flexibility of the hinge region varies among the IgG subclasses. The hinge region of IgG1 encompasses amino acids 216-231 and since it is freely flexible, the Fab fragments can rotate about their axes of symmetry and move within a sphere centered at the first of two inter-heavy chain disulfide bridges (23). IgG2 has a shorter hinge than IgG 1, with 12 amino acid residues and four disulfide bridges. The hinge region of IgG2 lacks a glycine residue, it is relatively short and contains a rigid poly-proline double helix, stabilised by extra inter-heavy chain disulfide bridges. These properties restrict the flexibility of the IgG2 molecule (24). IgG3 differs from the other subclasses by its unique extended hinge region (about four times as long as the IgG1 hinge), containing 62 amino acids (including 21 prolines and 11 cysteines), forming an inflexible poly-proline double helix (25,26). In IgG3 the Fab fragments are relatively far away from the Fc fragment, giving the molecule a greater flexibility. The elongated hinge in IgG3 is also responsible for its higher molecular weight compared to the other subclasses. The hinge region of IgG4 is shorter than that of IgG1 and its flexibility is intermediate between that of IgG1 and IgG2.

The four IgG subclasses also differ with respect to the number of inter-heavy chain disulfide bonds in the hinge region (26). The structural differences between the IgG subclasses are also reflected in their susceptibility to proteolytic enzymes. IgG3 is very susceptible to cleavage by these enzymes, whereas IgG2 is relatively resistant. IgG1 and IgG4 exhibit an intermediary sensitivity, depending upon the enzyme used. Since these proteolytic enzymes all cleave IgG molecules near or within the hinge region, it is likely that the high sensitivity of IgG3 to enzyme digestion is related to its accessible hinge. Another structural difference between the human IgG subclasses is the linkage of the heavy and light chain by a disulfide bond. This bond links the carboxy-terminal of the light chain with the cysteine residue at position 220 (in IgG) or at position 131 (in IgG2, IgG3 and IgG4) of the CH1 sequence of the heavy chain.

As a consequence of the structural differences, the four IgG subclasses may be distinguished from one another, for example using antibodies that are specific for differences between the isoforms. In the present application, a level of IgG1 is determined using an assay which distinguishes this subclass, relative to the other subclasses.

As used herein, the term “relating a signal to the presence or amount” of an analyte reflects the following understanding. Assay signals are typically related to the presence or amount of an analyte through the use of a standard curve calculated using known concentrations of the analyte of interest. As the term is used herein, an assay is “configured to detect” an analyte if an assay can generate a detectable signal indicative of the presence or amount of a physiologically relevant concentration of the analyte. Because an antibody epitope is on the order of 8 amino acids, an immunoassay configured to detect a marker of interest will also detect polypeptides related to the marker sequence, so long as those polypeptides contain the epitope(s) necessary to bind to the antibody or antibodies used in the assay. The term “related marker” as used herein with regard to a biomarker such as one of the kidney injury markers described herein refers to one or more fragments, variants, etc., of a particular marker or its biosynthetic parent that may be detected as a surrogate for the marker itself or as independent biomarkers. The term also refers to one or more polypeptides present in a biological sample that are derived from the biomarker precursor complexed to additional species, such as binding proteins, receptors, heparin, lipids, sugars, etc.

In this regard, the skilled artisan will understand that the signals obtained from an immunoassay are a direct result of complexes formed between one or more antibodies and the target biomolecule (i.e., the analyte) and polypeptides containing the necessary epitope(s) to which the antibodies bind. While such assays may detect the full length biomarker and the assay result be expressed as a concentration of a biomarker of interest, the signal from the assay is actually a result of all such “immunoreactive” polypeptides present in the sample. Expression of biomarkers may also be determined by means other than immunoassays, including protein measurements (such as dot blots, western blots, chromatographic methods, mass spectrometry, etc.) and nucleic acid measurements (mRNA quatitation). This list is not meant to be limiting.

The term “positive going” marker as that term is used herein refer to a marker that is determined to be elevated in sepsis patients suffering from a disease or condition, relative to sepsis patients not suffering from that disease or condition. The term “negative going” marker as that term is used herein refer to a marker that is determined to be reduced in sepsis patients suffering from a disease or condition, relative to sepsis patients not suffering from that disease or condition.

The term “sepsis patient” as used herein refers to a human or non-human organism. Thus, the methods and compositions described herein are applicable to both human and veterinary disease. Further, while a sepsis patient is preferably a living organism, the invention described herein may be used in post-mortem analysis as well. Preferred sepsis patients are humans, and most preferably “patients,” which as used herein refers to living humans that are receiving medical care for a disease or condition. This includes persons with no defined illness who are being investigated for signs of pathology.

Preferably, an analyte is measured in a sample. Such a sample may be obtained from a sepsis patient, or may be obtained from biological materials intended to be provided to the sepsis patient. For example, a sample may be obtained from a kidney being evaluated for possible transplantation into a sepsis patient, and an analyte measurement used to evaluate the kidney for preexisting damage. Preferred samples are body fluid samples.

The term “body fluid sample” as used herein refers to a sample of bodily fluid obtained for the purpose of diagnosis, prognosis, classification or evaluation of a sepsis patient of interest, such as a patient or transplant donor. In certain embodiments, such a sample may be obtained for the purpose of determining the outcome of an ongoing condition or the effect of a treatment regimen on a condition. Preferred body fluid samples include blood, serum, plasma, cerebrospinal fluid, urine, saliva, sputum, and pleural effusions. In addition, one of skill in the art would realize that certain body fluid samples would be more readily analyzed following a fractionation or purification procedure, for example, separation of whole blood into serum or plasma components.

The term “diagnosis” as used herein refers to methods by which the skilled artisan can estimate and/or determine the probability (“a likelihood”) of whether or not a patient is suffering from a given disease or condition. In the case of the present invention, “diagnosis” includes using the results of an assay, most preferably an immunoassay, for a kidney injury marker of the present invention, optionally together with other clinical characteristics, to arrive at a diagnosis (that is, the occurrence or nonoccurrence) of an acute renal injury or ARF for the sepsis patient from which a sample was obtained and assayed. That such a diagnosis is “determined” is not meant to imply that the diagnosis is 100% accurate. Many biomarkers are indicative of multiple conditions. The skilled clinician does not use biomarker results in an informational vacuum, but rather test results are used together with other clinical indicia to arrive at a diagnosis. Thus, a measured biomarker level on one side of a predetermined diagnostic threshold indicates a greater likelihood of the occurrence of disease in the sepsis patient relative to a measured level on the other side of the predetermined diagnostic threshold.

Similarly, a prognostic risk signals a probability (“a likelihood”) that a given course or outcome will occur. A level or a change in level of a prognostic indicator, which in turn is associated with an increased probability of morbidity (e.g., worsening renal function, future ARF, or death) is referred to as being “indicative of an increased likelihood” of an adverse outcome in a patient.

Marker Assays

In general, immunoassays involve contacting a sample containing or suspected of containing a biomarker of interest with at least one antibody that specifically binds to the biomarker. A signal is then generated indicative of the presence or amount of complexes formed by the binding of polypeptides in the sample to the antibody. The signal is then related to the presence or amount of the biomarker in the sample. Numerous methods and devices are well known to the skilled artisan for the detection and analysis of biomarkers. See, e.g., U.S. Pat. Nos. 6,143,576; 6,113,855; 6,019,944; 5,985,579; 5,947,124; 5,939,272; 5,922,615; 5,885,527; 5,851,776; 5,824,799; 5,679,526; 5,525,524; and 5,480,792, and The Immunoassay Handbook, David Wild, ed. Stockton Press, New York, 1994, each of which is hereby incorporated by reference in its entirety, including all tables, figures and claims.

The assay devices and methods known in the art can utilize labeled molecules in various sandwich, competitive, or non-competitive assay formats, to generate a signal that is related to the presence or amount of the biomarker of interest. Suitable assay formats also include chromatographic, mass spectrographic, and protein “blotting” methods. Additionally, certain methods and devices, such as biosensors and optical immunoassays, may be employed to determine the presence or amount of analytes without the need for a labeled molecule. See, e.g., U.S. Pat. Nos. 5,631,171; and 5,955,377, each of which is hereby incorporated by reference in its entirety, including all tables, figures and claims. One skilled in the art also recognizes that robotic instrumentation including but not limited to Beckman ACCESS®, Abbott AXSYM®, Roche ELECSYS®, Dade Behring STRATUS® systems are among the immunoassay analyzers that are capable of performing immunoassays. But any suitable immunoassay may be utilized, for example, enzyme-linked immunoassays (ELISA), radioimmunoassays (RIAs), competitive binding assays, and the like.

Antibodies or other polypeptides may be immobilized onto a variety of solid supports for use in assays. Solid phases that may be used to immobilize specific binding members include include those developed and/or used as solid phases in solid phase binding assays. Examples of suitable solid phases include membrane filters, cellulose-based papers, beads (including polymeric, latex and paramagnetic particles), glass, silicon wafers, microparticles, nanoparticles, TentaGels, AgroGels, PEGA gels, SPOCC gels, and multiple-well plates. An assay strip could be prepared by coating the antibody or a plurality of antibodies in an array on solid support. This strip could then be dipped into the test sample and then processed quickly through washes and detection steps to generate a measurable signal, such as a colored spot. Antibodies or other polypeptides may be bound to specific zones of assay devices either by conjugating directly to an assay device surface, or by indirect binding. In an example of the later case, antibodies or other polypeptides may be immobilized on particles or other solid supports, and that solid support immobilized to the device surface.

Biological assays require methods for detection, and one of the most common methods for quantitation of results is to conjugate a detectable label to a protein or nucleic acid that has affinity for one of the components in the biological system being studied. Detectable labels may include molecules that are themselves detectable (e.g., fluorescent moieties, electrochemical labels, metal chelates, etc.) as well as molecules that may be indirectly detected by production of a detectable reaction product (e.g., enzymes such as horseradish peroxidase, alkaline phosphatase, etc.) or by a specific binding molecule which itself may be detectable (e.g., biotin, digoxigenin, maltose, oligohistidine, 2,4-dintrobenzene, phenylarsenate, ssDNA, dsDNA, etc.).

Preparation of solid phases and detectable label conjugates often comprise the use of chemical cross-linkers. Cross-linking reagents contain at least two reactive groups, and are divided generally into homofunctional cross-linkers (containing identical reactive groups) and heterofunctional cross-linkers (containing non-identical reactive groups). Homobifunctional cross-linkers that couple through amines, sulfhydryls or react non-specifically are available from many commercial sources. Maleimides, alkyl and aryl halides, alpha-haloacyls and pyridyl disulfides are thiol reactive groups. Maleimides, alkyl and aryl halides, and alpha-haloacyls react with sulfhydryls to form thiol ether bonds, while pyridyl disulfides react with sulfhydryls to produce mixed disulfides. The pyridyl disulfide product is cleavable. Imidoesters are also very useful for protein-protein cross-links. A variety of heterobifunctional cross-linkers, each combining different attributes for successful conjugation, are commercially available.

In certain aspects, the present invention provides kits for the analysis of the described kidney injury markers. The kit comprises reagents for the analysis of at least one test sample which comprise at least one antibody that a kidney injury marker. The kit can also include devices and instructions for performing one or more of the diagnostic and/or prognostic correlations described herein. Preferred kits will comprise an antibody pair for performing a sandwich assay, or a labeled species for performing a competitive assay, for the analyte. Preferably, an antibody pair comprises a first antibody conjugated to a solid phase and a second antibody conjugated to a detectable label, wherein each of the first and second antibodies that bind a kidney injury marker. Most preferably each of the antibodies are monoclonal antibodies. The instructions for use of the kit and performing the correlations can be in the form of labeling, which refers to any written or recorded material that is attached to, or otherwise accompanies a kit at any time during its manufacture, transport, sale or use. For example, the term labeling encompasses advertising leaflets and brochures, packaging materials, instructions, audio or video cassettes, computer discs, as well as writing imprinted directly on kits.

Antibodies

The term “antibody” as used herein refers to a peptide or polypeptide derived from, modeled after or substantially encoded by an immunoglobulin gene or immunoglobulin genes, or fragments thereof, capable of specifically binding an antigen or epitope. See, e.g. Fundamental Immunology, 3rd Edition, W. E. Paul, ed., Raven Press, New York (1993); Wilson (1994; J. Immunol. Methods 175:267-273; Yarmush (1992) J. Biochem. Biophys. Methods 25:85-97. The term antibody includes antigen-binding portions, i.e., “antigen binding sites,” (e.g., fragments, subsequences, complementarity determining regions (CDRs)) that retain capacity to bind antigen, including (i) a Fab fragment, a monovalent fragment consisting of the VL, VH, CL and CH1 domains; (ii) a F(ab′)2 fragment, a bivalent fragment comprising two Fab fragments linked by a disulfide bridge at the hinge region; (iii) a Fd fragment consisting of the VH and CH1 domains; (iv) a Fv fragment consisting of the VL and VH domains of a single arm of an antibody, (v) a dAb fragment (Ward et al., (1989) Nature 341:544-546), which consists of a VII domain; and (vi) an isolated complementarity determining region (CDR). Single chain antibodies are also included by reference in the term “antibody.”

Antibodies used in the immunoassays described herein preferably specifically bind to a kidney injury marker of the present invention. The term “specifically binds” is not intended to indicate that an antibody binds exclusively to its intended target since, as noted above, an antibody binds to any polypeptide displaying the epitope(s) to which the antibody binds. Rather, an antibody “specifically binds” if its affinity for its intended target is about 5-fold greater when compared to its affinity for a non-target molecule which does not display the appropriate epitope(s). Preferably the affinity of the antibody will be at least about 5 fold, preferably 10 fold, more preferably 25-fold, even more preferably 50-fold, and most preferably 100-fold or more, greater for a target molecule than its affinity for a non-target molecule. In preferred embodiments, Preferred antibodies bind with affinities of at least about 10⁷ M⁻¹, and preferably between about 10⁸ M⁻¹ to about 10⁹ M⁻¹, about 10⁹ M⁻¹ to about 10¹⁰M⁻¹, or about 10¹⁰ M⁻¹ to about 10¹² M⁻¹ .

Affinity is calculated as K_(d)=k_(off)/K_(on) (k_(off) is the dissociation rate constant, K_(on) is the association rate constant and K_(d) is the equilibrium constant). Affinity can be determined at equilibrium by measuring the fraction bound (r) of labeled ligand at various concentrations (c). The data are graphed using the Scatchard equation: r/c=K(n−r): where r=moles of bound ligand/mole of receptor at equilibrium; c=free ligand concentration at equilibrium; K=equilibrium association constant; and n=number of ligand binding sites per receptor molecule. By graphical analysis, r/c is plotted on the Y-axis versus r on the X-axis, thus producing a Scatchard plot. Antibody affinity measurement by Scatchard analysis is well known in the art. See, e.g., van Erp et al., J. Immunoassay 12: 425-43, 1991; Nelson and Griswold, Comput. Methods Programs Biomed. 27: 65-8, 1988.

The term “epitope” refers to an antigenic determinant capable of specific binding to an antibody. Epitopes usually consist of chemically active surface groupings of molecules such as amino acids or sugar side chains and usually have specific three dimensional structural characteristics, as well as specific charge characteristics. Conformational and nonconformational epitopes are distinguished in that the binding to the former but not the latter is lost in the presence of denaturing solvents.

Numerous publications discuss the use of phage display technology to produce and screen libraries of polypeptides for binding to a selected analyte. See, e.g, Cwirla et al., Proc. Natl. Acad. Sci. USA 87, 6378-82, 1990; Devlin et al., Science 249, 404-6, 1990, Scott and Smith, Science 249, 386-88, 1990; and Ladner et al., U.S. Pat. No. 5,571,698. A basic concept of phage display methods is the establishment of a physical association between DNA encoding a polypeptide to be screened and the polypeptide. This physical association is provided by the phage particle, which displays a polypeptide as part of a capsid enclosing the phage genome which encodes the polypeptide. The establishment of a physical association between polypeptides and their genetic material allows simultaneous mass screening of very large numbers of phage bearing different polypeptides. Phage displaying a polypeptide with affinity to a target bind to the target and these phage are enriched by affinity screening to the target. The identity of polypeptides displayed from these phage can be determined from their respective genomes. Using these methods a polypeptide identified as having a binding affinity for a desired target can then be synthesized in bulk by conventional means. See, e.g., U.S. Pat. No. 6,057,098, which is hereby incorporated in its entirety, including all tables, figures, and claims.

The antibodies that are generated by these methods may then be selected by first screening for affinity and specificity with the purified polypeptide of interest and, if required, comparing the results to the affinity and specificity of the antibodies with polypeptides that are desired to be excluded from binding. The screening procedure can involve immobilization of the purified polypeptides in separate wells of microtiter plates. The solution containing a potential antibody or groups of antibodies is then placed into the respective microtiter wells and incubated for about 30 min to 2 h. The microtiter wells are then washed and a labeled secondary antibody (for example, an anti-mouse antibody conjugated to alkaline phosphatase if the raised antibodies are mouse antibodies) is added to the wells and incubated for about 30 min and then washed. Substrate is added to the wells and a color reaction will appear where antibody to the immobilized polypeptide(s) are present.

The antibodies so identified may then he further analyzed for affinity and specificity in the assay design selected. In the development of immunoassays for a target protein, the purified target protein acts as a standard with which to judge the sensitivity and specificity of the immunoassay using the antibodies that have been selected. Because the binding affinity of various antibodies may differ; certain antibody pairs (e.g., in sandwich assays) may interfere with one another sterically, etc., assay performance of an antibody may be a more important measure than absolute affinity and specificity of an antibody.

While the present application describes antibody-based binding assays in detail, alternatives to antibodies as binding species in assays are well known in the art. These include receptors for a particular target, aptamers, etc. Aptamers are oligonucleic acid or peptide molecules that bind to a specific target molecule. Aptamers are usually created by selecting them from a large random sequence pool, but natural aptamers also exist. High-affinity aptamers containing modified nucleotides conferring improved characteristics on the ligand, such as improved in vivo stability or improved delivery characteristics. Examples of such modifications include chemical substitutions at the ribose and/or phosphate and/or base positions, and may include amino acid side chain functionalities.

Assay Correlations

The term “correlating” as used herein in reference to the use of biomarkers refers to comparing the presence or amount of the biomarker(s) in a patient to its presence or amount in persons known to suffer from, or known to be at risk of, a given condition; or in persons known to be free of a given condition. Often, this takes the form of comparing an assay result in the form of a biomarker concentration to a predetermined threshold selected to be indicative of the occurrence or nonoccurrence of a disease or the likelihood of some future outcome.

Selecting a diagnostic threshold involves, among other things, consideration of the probability of disease, distribution of true and false diagnoses at different test thresholds, and estimates of the consequences of treatment (or a failure to treat) based on the diagnosis. For example, when considering administering a specific therapy which is highly efficacious and has a low level of risk, few tests are needed because clinicians can accept substantial diagnostic uncertainty. On the other hand, in situations where treatment options are less effective and more risky, clinicians often need a higher degree of diagnostic certainty. Thus, cost/benefit analysis is involved in selecting a diagnostic threshold.

Suitable thresholds may be determined in a variety of ways. For example, one recommended diagnostic threshold for the diagnosis of acute myocardial infarction using cardiac troponin is the 97.5th percentile of the concentration seen in a normal population. Another method may be to look at serial samples from the same patient, where a prior “baseline” result is used to monitor for temporal changes in a biomarker level.

Population studies may also be used to select a decision threshold. Reciever Operating Characteristic (“ROC”) arose from the field of signal dectection therory developed during World War II for the analysis of radar images, and ROC analysis is often used to select a threshold able to best distinguish a “diseased” subpopulation from a “nondiseased” subpopulation. A false positive in this case occurs when the person tests positive, but actually does not have the disease. A false negative, on the other hand, occurs when the person tests negative, suggesting they are healthy, when they actually do have the disease. To draw a ROC curve, the true positive rate (TPR) and false positive rate (FPR) are determined as the decision threshold is varied continuously. Since TPR is equivalent with sensitivity and FPR is equal to 1—specificity, the ROC graph is sometimes called the sensitivity vs (1—specificity) plot. A perfect test will have an area under the ROC curve of 1.0; a random test will have an area of 0.5. A threshold is selected to provide an acceptable level of specificity and sensitivity.

In this context, “diseased” is meant to refer to a population having one characteristic (the presence of a disease or condition or the occurrence of some outcome) and “nondiseased” is meant to refer to a population lacking the characteristic. While a single decision threshold is the simplest application of such a method, multiple decision thresholds may be used. For example, below a first threshold, the absence of disease may be assigned with relatively high confidence, and above a second threshold the presence of disease may also be assigned with relatively high confidence. Between the two thresholds may be considered indeterminate. This is meant to be exemplary in nature only.

In addition to threshold comparisons, other methods for correlating assay results to a patient classification (occurrence or nonoccurrence of disease, likelihood of an outcome, etc.) include decision trees, rule sets, Bayesian methods, and neural network methods. These methods can produce probability values representing the degree to which a sepsis patient belongs to one classification out of a plurality of classifications.

Measures of test accuracy may be obtained as described in Fischer et al., Intensive Care Med. 29: 1043-51 2003, and used to determine the effectiveness of a given biomarker. These measures include sensitivity and specificity, predictive values, likelihood ratios, diagnostic odds ratios, and ROC curve areas. The area under the curve (“AUC”) of a ROC plot is equal to the probability that a classifier will rank a randomly chosen positive instance higher than a randomly chosen negative one. The area under the ROC curve may be thought of as equivalent to the Mann-Whitney U test, which tests for the median difference between scores obtained in the two groups considered if the groups are of continuous data, or to the Wilcoxon test of ranks.

As discussed above, suitable tests may exhibit one or more of the following results on these various measures: a specificity of greater than 0.5, preferably at least 0.6, more preferably at least 0.7, still more preferably at least 0.8, even more preferably at least 0.9 and most preferably at least 0.95, with a corresponding sensitivity greater than 0.2, preferably greater than 0.3, more preferably greater than 0.4, still more preferably at least 0.5, even more preferably 0.6, yet more preferably greater than 0.7, still more preferably greater than 0.8, more preferably greater than 0.9, and most preferably greater than 0.95; a sensitivity of greater than 0.5, preferably at least 0.6, more preferably a least 0.7, still more preferably at least 0.8, even more preferably at least 0.9 and most preferably at least 0.95, with a corresponding specificity greater than 0.2, preferably greater than 0.3, more preferably greater than 0.4, still more preferably at least 0.5, even more preferably 0.6, yet more preferably greater than 0.7, still more preferably greater than 0.8, more preferably greater than 0.9, and most preferably greater than 0.95; at least 75% sensitivity, combined with at least 75% specificity; a ROC curve area of greater than 0.5, preferably at least 0.6, more preferably 0.7, still more preferably at least 0.8, even more preferably at least 0.9, and most preferably at least 0.95; an odds ratio different from 1, preferably at least about 2 or more or about 0.5 or less, more preferably at least about 3 or more or about 0.33 or less, still more preferably at least about 4 or more or about 0.25 or less, even more preferably at least about 5 or more or about 0.2 or less, and most preferably at least about 10 or more or about 0.1 or less; a positive likelihood ratio (calculated as sensitivity/(1-specificity)) of greater than 1, at least 2, more preferably at least 3, still more preferably at least 5, and most preferably at least 10; and or a negative likelihood ratio (calculated as (1-sensitivity)/specificity) of less than 1, less than or equal to 0.5, more preferably less than or equal to 0.3, and most preferably less than or equal to 0.1

Additional clinical indicia may be combined with the kidney injury marker assay result(s) of the present invention. These include other biomarkers related to renal status. Other clinical indicia which may be combined with the kidney injury marker assay result(s) of the present invention includes demographic information (e.g., weight, sex, age, race), medical history (e.g., family history, type of surgery, pre-existing disease such as aneurism, congestive heart failure, preeclampsia, eclampsia, diabetes mellitus, hypertension, coronary artery disease, proteinuria, renal insufficiency, or sepsis, type of toxin exposure such as NSAIDs, cyclosporines, tacrolimus, aminoglycosides, foscarnet, ethylene glycol, hemoglobin, myoglobin, ifosfamide, heavy metals, methotrexate, radiopaque contrast agents, or streptozotocin), clinical variables (e.g., blood pressure, temperature, respiration rate), risk scores (APACHE score, PREDICT score, TIMI Risk Score for UA/NSTEMI, Framingham Risk Score), a urine total protein measurement, a glomerular filtration rate, an estimated glomerular filtration rate, a urine production rate, a serum or plasma creatinine concentration, a renal papillary antigen 1 (RPA1) measurement; a renal papillary antigen 2 (RPA2) measurement; a urine creatinine concentration, a fractional excretion of sodium, a urine sodium concentration, a urine creatinine to serum or plasma creatinine ratio, a urine specific gravity, a urine osmolality, a urine urea nitrogen to plasma urea nitrogen ratio, a plasma BUN to creatnine ratio, and/or a renal failure index calculated as urine sodium/(urine creatinine/plasma creatinine). Other measures of renal function which may be combined with the kidney injury marker assay result(s) are described hereinafter and in Harrison's Principles of Internal Medicine, 17^(th) Ed., McGraw Hill, New York, pages 1741-1830, and Current Medical Diagnosis & Treatment 2008, 47^(th) Ed, McGraw Hill, New York, pages 785-815, each of which arc hereby incorporated by reference in their entirety.

Combining assay results/clinical indicia in this manner can comprise the use of multivariate logistical regression, loglinear modeling, neural network analysis, n-of-m analysis, decision tree analysis, etc. This list is not meant to be limiting.

Diagnosis of Acute Renal Failure

As noted above, the terms “acute renal (or kidney) injury” and “acute renal (or kidney) failure” as used herein are defined in part in terms of changes in serum creatinine from a baseline value. Most definitions of ARF have common elements, including the use of serum creatinine and, often, urine output. Patients may present with renal dysfunction without an available baseline measure of renal function for use in this comparison. In such an event, one may estimate a baseline serum creatinine value by assuming the patient initially had a normal GFR. Glomerular filtration rate (GFR) is the volume of fluid filtered from the renal (kidney) glomerular capillaries into the Bowman's capsule per unit time. Glomerular filtration rate (GFR) can be calculated by measuring any chemical that has a steady level in the blood, and is freely filtered but neither reabsorbed nor secreted by the kidneys. GFR is typically expressed in units of ml/min:

${G\; F\; R} = \frac{{Urine}\mspace{14mu} {Concentration} \times {Urine}\mspace{14mu} {Flow}}{{Plasma}\mspace{14mu} {Concentration}}$

By normalizing the GFR to the body surface area, a GFR of approximately 75-100 ml/min per 1.73 m² can be assumed. The rate therefore measured is the quantity of the substance in the urine that originated from a calculable volume of blood.

There are several different techniques used to calculate or estimate the glomerular filtration rate (GFR or eGFR). In clinical practice, however, creatinine clearance is used to measure GFR. Creatinine is produced naturally by the body (creatinine is a metabolite of creatine, which is found in muscle). It is freely filtered by the glomerulus, but also actively secreted by the renal tubules in very small amounts such that creatinine clearance overestimates actual GFR by 10-20%. This margin of error is acceptable considering the ease with which creatinine clearance is measured.

Creatinine clearance (CCr) can be calculated if values for creatinine's urine concentration (U_(Cr)), urine flow rate (V), and creatinine's plasma concentration (P_(Cr)) are known. Since the product of urine concentration and urine flow rate yields creatinine's excretion rate, creatinine clearance is also said to be its excretion rate (U_(Cr)×V) divided by its plasma concentration. This is commonly represented mathematically as:

$C_{Cr} = \frac{U_{Cr} \times V}{P_{Cr}}$

Commonly a 24 hour urine collection is undertaken, from empty-bladder one morning to the contents of the bladder the following morning, with a comparative blood test then taken:

$C_{Cr} = \frac{U_{Cr} \times 24\text{-}{hour}\mspace{14mu} {volume}}{P_{Cr} \times 24 \times 60\mspace{14mu} {mins}}$

To allow comparison of results between people of different sizes, the CCr is often corrected for the body surface area (BSA) and expressed compared to the average sized man as ml/min/1.73 m2. While most adults have a BSA that approaches 1.7 (1.6-1.9), extremely obese or slim patients should have their CCr corrected for their actual BSA:

$C_{{Cr} - {corrected}} = \frac{C_{Cr} \times 1.73}{B\; S\; A}$

The accuracy of a creatinine clearance measurement (even when collection is complete) is limited because as glomerular filtration rate (GFR) falls creatinine secretion is increased, and thus the rise in serum creatinine is less. Thus, creatinine excretion is much greater than the filtered load, resulting in a potentially large overestimation of the GFR (as much as a twofold difference). However, for clinical purposes it is important to determine whether renal function is stable or getting worse or better. This is often determined by monitoring serum creatinine alone. Like creatinine clearance, the serum creatinine will not be an accurate reflection of GFR in the non-steady-state condition of ARF. Nonetheless, the degree to which serum creatinine changes from baseline will reflect the change in GFR. Serum creatinine is readily and easily measured and it is specific for renal function.

For purposes of determining urine output on a Urine output on a mL/kg/hr basis, hourly urine collection and measurement is adequate. In the case where, for example, only a cumulative 24-h output was available and no patient weights are provided, minor modifications of the RIFLE urine output criteria have been described. For example, Bagshaw et al., Nephrol. Dial. Transplant. 23: 1203-1210, 2008, assumes an average patient weight of 70 kg, and patients are assigned a RIFLE classification based on the following: <35 mL/h (Risk), <21 mL/h (Injury) or <4 mL/h (Failure).

Selecting a Treatment Regimen

Once a diagnosis is obtained, the clinician can readily select a treatment regimen that is compatible with the diagnosis, such as initiating renal replacement therapy, withdrawing delivery of compounds that are known to be damaging to the kidney, kidney transplantation, delaying or avoiding procedures that are known to be damaging to the kidney, modifying diuretic administration, initiating goal directed therapy, etc. The skilled artisan is aware of appropriate treatments for numerous diseases discussed in relation to the methods of diagnosis described herein. See, e.g., Merck Manual of Diagnosis and Therapy, 17th Ed. Merck Research Laboratories, Whitehouse Station, N.J., 1999. In addition, since the methods and compositions described herein provide prognostic information, the markers of the present invention may be used to monitor a course of treatment. For example, improved or worsened prognostic state may indicate that a particular treatment is or is not efficacious.

One skilled in the art readily appreciates that the present invention is well adapted to carry out the objects and obtain the ends and advantages mentioned, as well as those inherent therein. The examples provided herein are representative of preferred embodiments, are exemplary, and are not intended as limitations on the scope of the invention.

Example 1: Septic Sepsis Patient Sample Collection

The objective of this study was to collect samples from patients expected to be in the ICU for at least 48 hours were enrolled. To be enrolled in the study, each patient must meet all of the following inclusion criteria and none of the following exclusion criteria:

Inclusion Criteria: males and females 18 years of age or older and which either acquire sepsis or have sepsis on admission.

Exclusion Criteria

known pregnancy; institutionalized individuals; previous renal transplantation; known acutely worsening renal function prior to enrollment (e.g., any category of RIFLE criteria); received dialysis (either acute or chronic) within 5 days prior to enrollment or in imminent need of dialysis at the time of enrollment; known infection with human immunodeficiency virus (HIV) or a hepatitis virus; meets only the SBP <90 mmHg inclusion criterion set forth above, and does not have shock in the attending physician's or principal investigator's opinion.

After providing informed consent, an EDTA anti-coagulated blood sample (10 mL) and a urine sample (25-30 mL) are collected from each patient. Blood and urine samples are then collected at 4 (±0.5) and 8 (±1) hours after contrast administration (if applicable); at 12 (±1), 24 (±2), and 48 (±2) hours after enrollment, and thereafter daily up to day 7 to day 14 while the sepsis patient is hospitalized. Blood is collected via direct venipuncture or via other available venous access, such as an existing femoral sheath, central venous line, peripheral intravenous line or hep-lock. These study blood samples are processed to plasma at the clinical site, frozen and shipped to Astute Medical, Inc., San Diego, Calif. The study urine samples are frozen and shipped to Astute Medical, Inc.

Example 2. Immunoassay Format

Analytes are measured using standard sandwich enzyme immunoassay techniques. A first antibody which binds the analyte is immobilized in wells of a 96 well polystyrene microplate. Analyte standards and test samples are pipetted into the appropriate wells and any analyte present is hound by the immobilized antibody. After washing away any unbound substances, a horseradish peroxidase-conjugated second antibody which binds the analyte is added to the wells, thereby forming sandwich complexes with the analyte (if present) and the first antibody. Following a wash to remove any unbound antibody-enzyme reagent, a substrate solution comprising tetramethylbenzidine and hydrogen peroxide is added to the wells. Color develops in proportion to the amount of analyte present in the sample. The color development is stopped and the intensity of the color is measured at 540 nm or 570 nm. An analyte concentration is assigned to the test sample by comparison to a standard curve determined from the analyte standards.

Concentrations for the various markers are reported as follows:

Insulin-like growth factor-binding protein 7 ng/ml Beta-2-glycoprotein 1 ng/ml Metalloproteinase inhibitor 2 pg/ml Alpha-1 Antitrypsin ng/ml Neutrophil Elastase ng/ml Serum Amyloid P Component ng/ml C—X—C motif chemokine 6 pg/ml Immunoglobulin A ng/ml Immunoglobulin G, subclass I ng/ml C—C motif chemokine 24 pg/ml Neutrophil collagenase pg/ml Cathepsin D pg/ml C—X—C motif chemokine 13 pg/ml Involucrin ng/ml Interleukin-6 receptor subunit beta pg/ml Hepatocyte Growth Factor pg/ml CXCL-1, -2, -3 mix pg/ml Immunoglobulin G, subclass II ng/ml Metalloproteinase inhibitor 4 pg/ml C—C motif chemokine 18 ng/ml Matrilysin pg/ml C—X—C motif chemokine 11 pg/ml Antileukoproteinase (WAP4) pg/ml

Example 3. Use of Kidney Injury Markers for Evaluating Sepsis Patients

Patients from the sepsis study (Example 1) were classified by kidney status as non-injury (0), risk of injury (R), injury (I), and failure (F) according to the maximum stage reached within 7 days of enrollment as determined by the RIFLE criteria. EDTA anti-coagulated blood samples (10 mL) and a urine samples (25-30 mL) were collected from each patient at enrollment, 4 (±0.5) and 8 (±1) hours after contrast administration (if applicable); at 12 (±1), 24 (±2), and 48 (±2) hours after enrollment, and thereafter daily up to day 7 to day 14 while the sepsis patient is hospitalized. Markers were each measured by standard immunoassay methods using commercially available assay reagents in the urine samples and the plasma component of the blood samples collected.

Two cohorts were defined to represent a “diseased” and a “normal” population. While these terms are used for convenience, “diseased” and “normal” simply represent two cohorts for comparison (say RIFLE 0 vs RIFLE R, I and F; RIFLE 0 vs RIFLE R; RIFLE 0 and R vs RIFLE I and F; etc.). The time “prior max stage” represents the time at which a sample is collected, relative to the time a particular patient reaches the lowest disease stage as defined for that cohort, binned into three groups which are +/−12 hours. For example, “24 hr prior” which uses 0 vs R, I, F as the two cohorts would mean 24 hr (+/−12 hours) prior to reaching stage R (or I if no sample at R, or F if no sample at R or I).

A receiver operating characteristic (ROC) curve was generated for each biomarker measured and the area under each ROC curve (AUC) is determined. Patients in Cohort 2 were also separated according to the reason for adjudication to cohort 2 as being based on serum creatinine measurements (sCr), being based on urine output (UO), or being based on either serum creatinine measurements or urine output. Using the same example discussed above (0 vs R, I, F), for those patients adjudicated to stage R, I, or F on the basis of serum creatinine measurements alone, the stage 0 cohort may include patients adjudicated to stage R, I, or F on the basis of urine output; for those patients adjudicated to stage R, I, or F on the basis of urine output alone, the stage 0 cohort may include patients adjudicated to stage R, I, or F on the basis of serum creatinine measurements; and for those patients adjudicated to stage R, I, or F on the basis of serum creatinine measurements or urine output, the stage 0 cohort contains only patients in stage 0 for both serum creatinine measurements and urine output. Also, in the data for patients adjudicated on the basis of serum creatinine measurements or urine output, the adjudication method which yielded the most severe RIFLE stage is used.

The ability to distinguish cohort 1 from Cohort 2 was determined using ROC analysis. SE is the standard error of the AUC, n is the number of sample or individual patients (“pts,” as indicated). Standard errors are calculated as described in Hanley, J. A., and McNeil, B. J., The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology (1982) 143: 29-36; p values are calculated with a two-tailed Z-test. An AUC <0.5 is indicative of a negative going marker for the comparison, and an AUC >0.5 is indicative of a positive going marker for the comparison.

Various threshold (or “cutoff”) concentrations were selected, and the associated sensitivity and specificity for distinguishing cohort 1 from cohort 2 are determined. OR is the odds ratio calculated for the particular cutoff concentration, and 95% CI is the confidence interval for the odds ratio.

In the following tables 1-12, a population which either acquire sepsis days 1-7 or have sepsis on admission are used as the disease cohort; in tables 13-24, only those patients with sepsis on admission were included.

Table 1: Comparison of marker levels in urine samples collected from Cohort 1 (patients that did not progress beyond RIFLE stage 0) and in urine samples collected from subjects at 0, 24 hours, and 48 hours prior to reaching stage R, I or F in Cohort 2.

Lengthy table referenced here US20210156850A1-20210527-T00001 Please refer to the end of the specification for access instructions.

While the invention has been described and exemplified in sufficient detail for those skilled in this art to make and use it, various alternatives, modifications, and improvements should be apparent without departing from the spirit and scope of the invention. The examples provided herein are representative of preferred embodiments, are exemplary, and are not intended as limitations on the scope of the invention. Modifications therein and other uses will occur to those skilled in the art. These modifications are encompassed within the spirit of the invention and are defined by the scope of the claims.

It will be readily apparent to a person skilled in the art that varying substitutions and modifications may be made to the invention disclosed herein without departing from the scope and spirit of the invention.

All patents and publications mentioned in the specification are indicative of the levels of those of ordinary skill in the art to which the invention pertains. All patents and publications are herein incorporated by reference to the same extent as if each individual publication was specifically and individually indicated to be incorporated by reference.

The invention illustratively described herein suitably may be practiced in the absence of any element or elements, limitation or limitations which is not specifically disclosed herein. Thus, for example, in each instance herein any of the terms “comprising”, “consisting essentially of” and “consisting of” may be replaced with either of the other two terms. The terms and expressions which have been employed are used as terms of description and not of limitation, and there is no intention that in the use of such terms and expressions of excluding any equivalents of the features shown and described or portions thereof, but it is recognized that various modifications are possible within the scope of the invention claimed. Thus, it should be understood that although the present invention has been specifically disclosed by preferred embodiments and optional features, modification and variation of the concepts herein disclosed may be resorted to by those skilled in the art, and that such modifications and variations are considered to be within the scope of this invention as defined by the appended claims.

Other embodiments are set forth within the following claims.

LENGTHY TABLES The patent application contains a lengthy table section. A copy of the table is available in electronic form from the USPTO web site (https://seqdata.uspto.gov/?pageRequest=docDetail&DocID=US20210156850A1). An electronic copy of the table will also be available from the USPTO upon request and payment of the fee set forth in 37 CFR 1.19(b)(3). 

We claim:
 1. A method for evaluating renal status in a sepsis patient, comprising: performing one or more assays configured to detect one or more biomarkers selected from the group consisting of Insulin-like growth factor-binding protein 7, Beta-2-glycoprotein 1, Metalloproteinase inhibitor 2, Alpha-1 Antitrypsin, Leukocyte elastase, Serum Amyloid P Component, C—X—C motif chemokine 6, Immunoglobulin A, Immunoglobulin G subclass I, C—C motif chemokine 24, Neutrophil collagenase, Cathepsin D, C—X—C motif chemokine 13, Involucrin, Interleukin-6 receptor subunit beta, Hepatocyte Growth Factor, CXCL-1, -2, -3, Immunoglobulin G subclass II, Metalloproteinase inhibitor 4, C—C motif chemokine 18, Matrilysin, C—X—C motif chemokine 11, and Antileukoproteinase on a body fluid sample obtained from the sepsis patient to provide an assay result; and correlating the assay result(s) to the renal status of the sepsis patient.
 2. A method according to claim 1, wherein said correlation step comprises correlating the assay result(s) to one or more of risk stratification, diagnosis, staging, prognosis, classifying and monitoring of the renal status of the sepsis patient.
 3. A method according to claim 1, wherein said correlating step comprises assigning a likelihood of one or more future changes in renal status to the sepsis patient based on the assay result(s).
 4. A method according to claim 3, wherein said one or more future changes in renal status comprise one or more of a future injury to renal function, future reduced renal function, future improvement in renal function, and future acute renal failure (ARF).
 5. A method according to one of claims 1-4, wherein said assay results comprise at least 2, 3, or 4 of: a measured urine or plasma concentration of Insulin-like growth factor-binding protein 7, a measured urine or plasma concentration of Beta-2-glycoprotein 1, a measured urine or plasma concentration of Metalloproteinase inhibitor 2, a measured urine or plasma concentration of Alpha-1 Antitrypsin, a measured urine or plasma concentration of Leukocyte elastase, a measured urine or plasma concentration of Serum Amyloid P Component, a measured urine or plasma concentration of C—X—C motif chemokine 6, a measured urine or plasma concentration of Immunoglobulin A, a measured urine or plasma concentration of Immunoglobulin G subclass I, a measured urine or plasma concentration of C—C motif chemokine 24, a measured urine or plasma concentration of Neutrophil collagenase, a measured urine or plasma concentration of Cathepsin D, a measured urine or plasma concentration of C—X—C motif chemokine 13, a measured urine or plasma concentration of Involucrin, a measured urine or plasma concentration of Interleukin-6 receptor subunit beta, a measured urine or plasma concentration of Hepatocyte Growth Factor, a measured urine or plasma concentration of CXCL-1, a measured urine or plasma concentration of -2, a measured urine or plasma concentration of -3, a measured urine or plasma concentration of Immunoglobulin G subclass II, a measured urine or plasma concentration of Metalloproteinase inhibitor 4, a measured urine or plasma concentration of C—C motif chemokine 18, a measured urine or plasma concentration of Matrilysin, a measured urine or plasma concentration of C—X—C motif chemokine 11, and a measured urine or plasma concentration of Antileukoproteinase.
 6. A method according to one of claims 1-5, wherein a plurality of assay results are combined using a function that converts the plurality of assay results into a single composite result.
 7. A method according to claim 3, wherein said one or more future changes in renal status comprise a clinical outcome related to a renal injury suffered by the sepsis patient.
 8. A method according to claim 3, wherein the likelihood of one or more future changes in renal status is that an event of interest is more or less likely to occur within 30 days of the time at which the body fluid sample is obtained from the sepsis patient.
 9. A method according to claim 8, wherein the likelihood of one or more future changes in renal status is that an event of interest is more or less likely to occur within a period selected from the group consisting of 21 days, 14 days, 7 days, 5 days, 96 hours, 72 hours, 48 hours, 36 hours, 24 hours, and 12 hours.
 10. A method according to one of claims 1-5, wherein the sepsis patient is a severe sepsis patient.
 11. A method according to one of claims 1-5, wherein the sepsis patient is a septic shock patient.
 12. A method according to one of claims 1-5, wherein said correlating step comprises assigning a diagnosis of the occurrence or nonoccurrence of one or more of an injury to renal function, reduced renal function, or ARF to the sepsis patient based on the assay result(s).
 13. A method according to one of claims 1-5, wherein said correlating step comprises assessing whether or not renal function is improving or worsening in a sepsis patient who has suffered from an injury to renal function, reduced renal function, or ARF based on the assay result(s).
 14. A method according to one of claims 1-5, wherein said method is a method of diagnosing the occurrence or nonoccurrence of an injury to renal function in said sepsis patient.
 15. A method according to one of claims 1-5, wherein said method is a method of diagnosing the occurrence or nonoccurrence of reduced renal function in said sepsis patient.
 16. A method according to one of claims 1-5, wherein said method is a method of diagnosing the occurrence or nonoccurrence of acute renal failure in said sepsis patient.
 17. A method according to one of claims 1-5, wherein said method is a method of diagnosing the occurrence or nonoccurrence of a need for renal replacement therapy in said sepsis patient.
 18. A method according to one of claims 1-5, wherein said method is a method of diagnosing the occurrence or nonoccurrence of a need for renal transplantation in said sepsis patient.
 19. A method according to one of claims 1-5, wherein said method is a method of assigning a risk of the future occurrence or nonoccurrence of an injury to renal function in said sepsis patient.
 20. A method according to one of claims 1-5, wherein said method is a method of assigning a risk of the future occurrence or nonoccurrence of reduced renal function in said sepsis patient.
 21. A method according to one of claims 1-5, wherein said method is a method of assigning a risk of the future occurrence or nonoccurrence of acute renal failure in said sepsis patient.
 22. A method according to one of claims 1-5, wherein said method is a method of assigning a risk of the future occurrence or nonoccurrence of a need for renal replacement therapy in said sepsis patient.
 23. A method according to one of claims 1-5, wherein said method is a method of assigning a risk of the future occurrence or nonoccurrence of a need for renal transplantation in said sepsis patient.
 24. A method according to one of claims 1-5, wherein said one or more future changes in renal status comprise one or more of a future injury to renal function, future reduced renal function, future improvement in renal function, and future acute renal failure (ARF) within 72 hours of the time at which the body fluid sample is obtained.
 25. A method according to one of claims 1-5, wherein said one or more future changes in renal status comprise one or more of a future injury to renal function, future reduced renal function, future improvement in renal function, and future acute renal failure (ARF) within 48 hours of the time at which the body fluid sample is obtained.
 26. A method according to one of claims 1-5, wherein said one or more future changes in renal status comprise one or more of a future injury to renal function, future reduced renal function, future improvement in renal function, and future acute renal failure (ARF) within 24 hours of the time at which the body fluid sample is obtained.
 27. A method according to one of claims 1-5, wherein the sepsis patient is in RIFLE stage 0 or R.
 28. A method according to claim 27, wherein the sepsis patient is in RIFLE stage 0, and said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage R, I or F within 72 hours.
 29. A method according to claim 28, wherein the sepsis patient is in RIFLE stage 0, and said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage I or F within 72 hours.
 30. A method according to claim 28, wherein the sepsis patient is in RIFLE stage 0, and said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage F within 72 hours.
 31. A method according to claim 27, wherein the sepsis patient is in RIFLE stage 0 or R, and said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage I or F within 72 hours.
 32. A method according to claim 31, wherein the sepsis patient is in RIFLE stage 0 or R, and said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage F within 72 hours.
 33. A method according to claim 27, wherein the sepsis patient is in RIFLE stage R, and said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage I or F within 72 hours.
 34. A method according to claim 33, wherein the sepsis patient is in RIFLE stage R, and said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage F within 72 hours.
 35. A method according to one of claims 1-5, wherein the sepsis patient is in RIFLE stage 0, R, or I, and said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage F within 72 hours.
 36. A method according to claim 35, wherein the sepsis patient is in RIFLE stage I, and said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage F within 72 hours.
 37. A method according to claim 28, wherein said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage R, I or F within 48 hours.
 38. A method according to claim 29, wherein said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage I or F within 48 hours.
 39. A method according to claim 30, wherein said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage F within 48 hours.
 40. A method according to claim 31, wherein said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage I or F within 48 hours.
 41. A method according to claim 32, wherein said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage F within 48 hours.
 42. A method according to claim 33, wherein said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage I or F within 48 hours.
 43. A method according to claim 34, wherein said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage F within 48 hours.
 44. A method according to claim 35, wherein said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage F within 48 hours.
 45. A method according to claim 36, wherein said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage F within 48 hours.
 46. A method according to claim 28, wherein said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage R, I or F within 24 hours.
 47. A method according to claim 29, wherein said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage I or F within 24 hours.
 48. A method according to claim 30, wherein said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage F within 24 hours.
 49. A method according to claim 31, wherein said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage I or F within 24 hours.
 50. A method according to claim 32, wherein said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage F within 24 hours.
 51. A method according to claim 33, wherein said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage I or F within 24 hours.
 52. A method according to claim 34, wherein said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage F within 24 hours.
 53. A method according to claim 35, wherein said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage F within 24 hours.
 54. A method according to claim 36, wherein said correlating step comprises assigning a likelihood that the sepsis patient will reach RIFLE stage F within 24 hours.
 55. A method according to one of claims 1-5, wherein the sepsis patient is not in acute renal failure.
 56. A method according to one of claims 1-5, wherein the sepsis patient has not experienced a 1.5-fold or greater increase in serum creatinine over a baseline value determined prior to the time at which the body fluid sample is obtained.
 57. A method according to one of claims 1-5, wherein the sepsis patient has a urine output of at least 0.5 ml/kg/hr over the 6 hours preceding the time at which the body fluid sample is obtained.
 58. A method according to one of claims 1-5, wherein the sepsis patient has not experienced an increase of 0.3 mg/dL or greater in serum creatinine over a baseline value determined prior to the time at which the body fluid sample is obtained.
 59. A method according to one of claims 1-5, wherein the sepsis patient (i) has not experienced a 1.5-fold or greater increase in serum creatinine over a baseline value determined prior to the time at which the body fluid sample is obtained, (ii) has a urine output of at least 0.5 ml/kg/hr over the 6 hours preceding the time at which the body fluid sample is obtained, and (iii) has not experienced an increase of 0.3 mg/dL or greater in serum creatinine over a baseline value determined prior to the time at which the body fluid sample is obtained.
 60. A method according to one of claims 1-5, wherein the sepsis patient has not experienced a 1.5-fold or greater increase in serum creatinine over a baseline value determined prior to the time at which the body fluid sample is obtained.
 61. A method according to one of claims 1-5, wherein the sepsis patient has a urine output of at least 0.5 ml/kg/hr over the 6 hours preceding the time at which the body fluid sample is obtained.
 62. A method according to one of claims 1-5, wherein the sepsis patient (i) has not experienced a 1.5-fold or greater increase in serum creatinine over a baseline value determined prior to the time at which the body fluid sample is obtained, (ii) has a urine output of at least 0.5 ml/kg/hr over the 12 hours preceding the time at which the body fluid sample is obtained, and (iii) has not experienced an increase of 0.3 mg/dL or greater in serum creatinine over a baseline value determined prior to the time at which the body fluid sample is obtained.
 63. A method according to one of claims 1-5, wherein said correlating step comprises assigning one or more of: a likelihood that within 72 hours the sepsis patient will (i) experience a 1.5-fold or greater increase in serum creatinine (ii) have a urine output of less than 0.5 ml/kg/hr over a 6 hour period, or (iii) experience an increase of 0.3 mg/dL, or greater in serum creatinine.
 64. A method according to claim 63, wherein said correlating step comprises assigning one or more of: a likelihood that within 48 hours the sepsis patient will (i) experience a 1.5-fold or greater increase in serum creatinine (ii) have a urine output of less than 0.5 ml/kg/hr over a 6 hour period, or (iii) experience an increase of 0.3 mg/dL or greater in serum creatinine.
 65. A method according to claim 63, wherein said correlating step comprises assigning one or more of: a likelihood that within 24 hours the sepsis patient will (i) experience a 1.5-fold or greater increase in serum creatinine (ii) have a urine output of less than 0.5 ml/kg/hr over a 6 hour period, or (iii) experience an increase of 0.3 mg/dL or greater in serum creatinine.
 66. A method according to claim 63, wherein said correlating step comprises assigning a likelihood that within 72 hours the sepsis patient will experience a 1.5-fold or greater increase in serum creatinine.
 67. A method according to claim 63, wherein said correlating step comprises assigning a likelihood that within 72 hours the sepsis patient will have a urine output of less than 0.5 ml/kg/hr over a 6 hour period.
 68. A method according to claim 63, wherein said correlating step comprises assigning a likelihood that within 72 hours the sepsis patient will experience an increase of 0.3 mg/dL or greater in serum creatinine.
 69. A method according to claim 63, wherein said correlating step comprises assigning a likelihood that within 48 hours the sepsis patient will experience a 1.5-fold or greater increase in serum creatinine.
 70. A method according to claim 63, wherein said correlating step comprises assigning a likelihood that within 48 hours the sepsis patient will have a urine output of less than 0.5 ml/kg/hr over a 6 hour period.
 71. A method according to claim 63, wherein said correlating step comprises assigning a likelihood that within 48 hours the sepsis patient will experience an increase of 0.3 mg/dL or greater in serum creatinine.
 72. A method according to claim 63, wherein said correlating step comprises assigning a likelihood that within 24 hours the sepsis patient will experience a 1.5-fold or greater increase in serum creatinine.
 73. A method according to claim 63, wherein said correlating step comprises assigning a likelihood that within 24 hours the sepsis patient will have a urine output of less than 0.5 ml/kg/hr over a 6 hour period.
 74. A method according to claim 63, wherein said correlating step comprises assigning a likelihood that within 24 hours the sepsis patient will experience an increase of 0.3 mg/dL or greater in serum creatinine.
 75. A method according to one of claims 1-5, wherein the sepsis patient has not experienced a 2-fold or greater increase in serum creatinine over a baseline value determined prior to the time at which the body fluid sample is obtained.
 76. A method according to one of claims 1-5, wherein the sepsis patient has a urine output of at least 0.5 ml/kg/hr over the 12 hours preceding the time at which the body fluid sample is obtained.
 77. A method according to one of claims 1-5, wherein the sepsis patient (i) has not experienced a 2-fold or greater increase in serum creatinine over a baseline value determined prior to the time at which the body fluid sample is obtained, (ii) has a urine output of at least 0.5 ml/kg/hr over the 2 hours preceding the time at which the body fluid sample is obtained, and (iii) has not experienced an increase of 0.3 mg/dL or greater in serum creatinine over a baseline value determined prior to the time at which the body fluid sample is obtained.
 78. A method according to one of claims 1-5, wherein the sepsis patient has not experienced a 3-fold or greater increase in serum creatinine over a baseline value determined prior to the time at which the body fluid sample is obtained.
 79. A method according to one of claims 1-5, wherein the sepsis patient has a urine output of at least 0.3 ml/kg/hr over the 24 hours preceding the time at which the body fluid sample is obtained, or anuria over the 12 hours preceding the time at which the body fluid sample is obtained.
 80. A method according to one of claims 1-5, wherein the sepsis patient (i) has not experienced a 3-fold or greater increase in serum creatinine over a baseline value determined prior to the time at which the body fluid sample is obtained, (ii) has a urine output of at least 0.3 ml/kg/hr over the 24 hours preceding the time at which the body fluid sample is obtained, or anuria over the 12 hours preceding the time at which the body fluid sample is obtained, and (iii) has not experienced an increase of 0.3 mg/dL or greater in serum creatinine over a baseline value determined prior to the time at which the body fluid sample is obtained.
 81. A method according to one of claims 1-5, wherein said correlating step comprises assigning one or more of: a likelihood that within 72 hours the sepsis patient will (i) experience a 2-fold or greater increase in serum creatinine (ii) have a urine output of less than 0.5 ml/kg/hr over a 12 hour period, or (iii) experience an increase of 0.3 mg/dL or greater in serum creatinine.
 82. A method according to claim 81, wherein said correlating step comprises assigning one or more of: a likelihood that within 48 hours the sepsis patient will (i) experience a 2-fold or greater increase in serum creatinine (ii) have a urine output of less than 0.5 ml/kg/hr over a 6 hour period, or (iii) experience an increase of 0.3 mg/dL or greater in serum creatinine.
 83. A method according to claim 81, wherein said correlating step comprises assigning one or more of: a likelihood that within 24 hours the sepsis patient will (i) experience a 2-fold or greater increase in serum creatinine, or (ii) have a urine output of less than 0.5 ml/kg/hr over a 6 hour period.
 84. A method according to claim 81, wherein said correlating step comprises assigning a likelihood that within 72 hours the sepsis patient will experience a 2-fold or greater increase in serum creatinine.
 85. A method according to claim 81, wherein said correlating step comprises assigning a likelihood that within 72 hours the sepsis patient will have a urine output of less than 0.5 ml/kg/hr over a 6 hour period.
 86. A method according to claim 81, wherein said correlating step comprises assigning a likelihood that within 48 hours the sepsis patient will experience a 2-fold or greater increase in serum creatinine.
 87. A method according to claim 81, wherein said correlating step comprises assigning a likelihood that within 48 hours the sepsis patient will have a urine output of less than 0.5 ml/kg/hr over a 6 hour period.
 88. A method according to claim 81, wherein said correlating step comprises assigning a likelihood that within 24 hours the sepsis patient will experience a 2-fold or greater increase in serum creatinine.
 89. A method according to claim 81, wherein said correlating step comprises assigning a likelihood that within 24 hours the sepsis patient will have a urine output of less than 0.5 ml/kg/hr over a 6 hour period.
 90. A method according to one of claims 1-5, wherein said correlating step comprises assigning one or more of: a likelihood that within 72 hours the sepsis patient will (i) experience a 3-fold or greater increase in serum creatinine, or (ii) have a urine output of less than 0.3 ml/kg/hr over a 24 hour period or anuria over a 12 hour period.
 91. A method according to claim 90, wherein said correlating step comprises assigning one or more of: a likelihood that within 48 hours the sepsis patient will (i) experience a 3-fold or greater increase in serum creatinine, or (ii) have a urine output of less than 0.3 ml/kg/hr over a 24 hour period or anuria over a 12 hour period.
 92. A method according to claim 90, wherein said correlating step comprises assigning one or more of: a likelihood that within 24 hours the sepsis patient will (i) experience a 3-fold or greater increase in serum creatinine, or (ii) have a urine output of less than 0.3 ml/kg/hr over a 24 hour period or anuria over a 12 hour period.
 93. A method according to claim 90, wherein said correlating step comprises assigning a likelihood that within 72 hours the sepsis patient will experience a 3-fold or greater increase in serum creatinine.
 94. A method according to claim 90, wherein said correlating step comprises assigning a likelihood that within 72 hours the sepsis patient will have a urine output of less than 0.3 ml/kg/hr over a 24 hour period or anuria over a 12 hour period.
 95. A method according to claim 90, wherein said correlating step comprises assigning a likelihood that within 48 hours the sepsis patient will experience a 3-fold or greater increase in serum creatinine.
 96. A method according to claim 90, wherein said correlating step comprises assigning a likelihood that within 48 hours the sepsis patient will have a urine output of less than 0.3 ml/kg/hr over a 24 hour period or anuria over a 12 hour period.
 97. A method according to claim 90, wherein said correlating step comprises assigning a likelihood that within 24 hours the sepsis patient will experience a 3-fold or greater increase in serum creatinine.
 98. A method according to claim 90, wherein said correlating step comprises assigning a likelihood that within 24 hours the sepsis patient will have a urine output of less than 0.3 ml/kg/hr over a 24 hour period or anuria over a 12 hour period.
 99. A method according to one of claims 1-98, wherein the body fluid sample is a urine sample.
 100. A method according to one of claims 1-99, wherein said method comprises performing assays that detect one, two or three, or more of Insulin-like growth factor-binding protein 7, Beta-2-glycoprotein 1, Metalloproteinase inhibitor 2, Alpha-1 Antitrypsin, Leukocyte elastase, Serum Amyloid P Component, C—X—C motif chemokine 6, Immunoglobulin A, Immunoglobulin G subclass I, C—C motif chemokine 24, Neutrophil collagenase, Cathepsin D, C—X—C motif chemokine 13, Involucrin, Interleukin-6 receptor subunit beta, Hepatocyte Growth Factor, CXCL-1, -2, -3, Immunoglobulin G subclass II, Metalloproteinase inhibitor 4, C—C motif chemokine 18, Matrilysin, C—X—C motif chemokine 11, and Antileukoproteinase.
 101. Measurement of one or more biomarkers selected from the group consisting of Insulin-like growth factor-binding protein 7, Beta-2-glycoprotein 1, Metalloproteinase inhibitor 2, Alpha-1 Antitrypsin, Leukocyte elastase, Serum Amyloid P Component, C—X—C motif chemokine 6, Immunoglobulin A, Immunoglobulin G subclass I, C—C motif chemokine 24, Neutrophil collagenase, Cathepsin D, C—X—C motif chemokine 13, Involucrin, Interleukin-6 receptor subunit beta, Hepatocyte Growth Factor, CXCL-1, -2, -3, Immunoglobulin G subclass II, Metalloproteinase inhibitor 4, C—C motif chemokine 18, Matrilysin, C—X—C motif chemokine 11, and Antileukoproteinase for the evaluation of renal injury.
 102. Measurement of one or more biomarkers selected from the group consisting of Insulin-like growth factor-binding protein 7, Beta-2-glycoprotein 1, Metalloproteinase inhibitor 2, Alpha-1 Antitrypsin, Leukocyte elastase, Serum Amyloid P Component, C—X—C motif chemokine 6, Immunoglobulin A, Immunoglobulin G subclass I, C—C motif chemokine 24, Neutrophil collagenase, Cathepsin D, C—X—C motif chemokine 13, Involucrin, Interleukin-6 receptor subunit beta, Hepatocyte Growth Factor, CXCL-1, -2, -3, Immunoglobulin G subclass 11, Metalloproteinase inhibitor 4, C—C motif chemokine 18, Matrilysin, C—X—C motif chemokine 11, and Antileukoproteinase for the evaluation of acute renal injury.
 103. A kit, comprising: reagents for performing one or more assays configured to detect one or more kidney injury markers selected from the group consisting of Insulin-like growth factor-binding protein 7, Beta-2-glycoprotein 1, Metalloproteinase inhibitor 2, Alpha-1 Antitrypsin, Leukocyte elastase, Serum Amyloid P Component, C—X—C motif chemokine 6, Immunoglobulin A, Immunoglobulin G subclass I, C—C motif chemokine 24, Neutrophil collagenase, Cathepsin D, C—X—C motif chemokine 13, Involucrin, Interleukin-6 receptor subunit beta, Hepatocyte Growth Factor, CXCL-1, -2, -3, Immunoglobulin G subclass II, Metalloproteinase inhibitor 4, C—C motif chemokine 18, Matrilysin, C—X—C motif chemokine 11, and Antileukoproteinase.
 104. A kit according to claim 103, wherein said reagents comprise one or more binding reagents, each of which specifically binds one of said of kidney injury markers.
 105. A kit according to claim 104, wherein a plurality of binding reagents are contained in a single assay device.
 106. A kit according to claim 103, wherein at least one of said assays is configured as a sandwich binding assay.
 107. A kit according to claim 103, wherein at least one of said assays is configured as a competitive binding assay.
 108. A kit according to one of claims 103-107, wherein said one or more assays comprise assays that detect one, two or three, or more of Insulin-like growth factor-binding protein 7, Beta-2-glycoprotein 1, Metalloproteinase inhibitor 2, Alpha-1 Antitrypsin, Leukocyte elastase, Serum Amyloid P Component, C—X—C motif chemokine 6, Immunoglobulin A, Immunoglobulin G subclass I, C—C motif chemokine 24, Neutrophil collagenase, Cathepsin D, C—X—C motif chemokine 13, Involucrin, Interleukin-6 receptor subunit beta, Hepatocyte Growth Factor, CXCL-1, -2, -3, Immunoglobulin G subclass II, Metalloproteinase inhibitor 4, C—C motif chemokine 18, Matrilysin, C—X—C motif chemokine 11, and Antileukoproteinase.
 109. A method for evaluating biomarker levels in a body fluid sample, comprising: obtaining a body fluid sample from a subject selected for evaluation based on a determination that the subject has sepsis; and performing a plurality of analyte binding assays configured to detect a plurality of biomarkers, one or more of which is selected from the group consisting of Insulin-like growth factor-binding protein 7, Beta-2-glycoprotein 1, Metalloproteinase inhibitor 2, Alpha-1 Antitrypsin, Leukocyte elastase, Serum Amyloid P Component, C—X—C motif chemokine 6, Immunoglobulin A, Immunoglobulin G subclass I, C—C motif chemokine 24, Neutrophil collagenase, Cathepsin D, C—X—C motif chemokine 13, Involucrin, Interleukin-6 receptor subunit beta, Hepatocyte Growth Factor, CXCL-1, -2, -3, Immunoglobulin G subclass II, Metalloproteinase inhibitor 4, C—C motif chemokine 18, Matrilysin, C—X—C motif chemokine 11, and Antileukoproteinase by introducing the urine sample obtained from the subject into an assay instrument which (i) contacts a plurality of reagents which specifically bind for detection the plurality of biomarkers with the urine sample, and (ii) generates one or more assay results indicative of binding of each biomarker which is assayed to a respective specific binding reagent in the plurality of reagents, and (iii) correlates the one or more assay results to a likelihood of worsening or improving renal function.
 110. A method according to claim 109, wherein the body fluid sample is a urine sample.
 111. A method according to claim 109 or 110, wherein the correlation is to a likelihood of future acute renal injury (AKI) or acute renal failure (ARF).
 112. A method according to claim 111, wherein the correlation is to a likelihood of of a future acute renal injury within a period selected from the group consisting of 21 days, 14 days, 7 days, 5 days, 96 hours, 72 hours, 48 hours, 36 hours, 24 hours, 18 hours, and 12 hours.
 113. A method according to claim 111, wherein the wherein the correlation is to a likelihood of of a future acute renal failure within a period selected from the group consisting of 21 days, 14 days, 7 days, 5 days, 96 hours, 72 hours, 48 hours, 36 hours, 24 hours, 18 hours, and 12 hours.
 114. A method according to one of claims 109-113, wherein the plurality of assays are immunoassays performed by (i) introducing the urine sample into an assay device comprising a plurality of antibodies, at least one of which binds to each biomarker which is assayed, and (ii) generating an assay result indicative of binding of each biomarker to its respective antibody.
 115. A method according to one of claims 109-110, wherein the subject is in RIFLE stage 0 or R.
 116. A method according to one of claims 109-110, wherein the subject is in RIFLE stage 0, R, or I.
 117. A system for evaluating biomarker levels, comprising: a plurality of reagents which specifically bind for detection the plurality of biomarkers, one or more of which is selected from the group consisting of Insulin-like growth factor-binding protein 7, Beta-2-glycoprotein 1, Metalloproteinase inhibitor 2, Alpha-1 Antitrypsin, Leukocyte elastase, Serum Amyloid P Component, C—X—C motif chemokine 6, Immunoglobulin A, Immunoglobulin G subclass I, C—C motif chemokine 24, Neutrophil collagenase, Cathepsin D, C—X—C motif chemokine 13, Involucrin, Interleukin-6 receptor subunit beta, Hepatocyte Growth Factor, CXCL-1, -2, -3, Immunoglobulin G subclass II, Metalloproteinase inhibitor 4, C—C motif chemokine 18, Matrilysin, C—X—C motif chemokine 11, and Antileukoproteinase; an assay instrument configured to receive a urine sample and contact the plurality of reagents with the urine sample to generate one or more assay results indicative of binding of each biomarker which is assayed to a respective specific binding reagent in the plurality of reagents, and to correlate the one or more assay results to a likelihood of worsening or improving renal function
 118. A system according to claim 117, wherein the reagents comprise a plurality of antibodies, at least one of which binds to each of the biomarkers which are assayed.
 119. A system according to claim 118, wherein assay instrument comprises an assay device and an assay device reader, wherein the plurality of antibodies are immobilized at a plurality of predetermined locations within the assay device, wherein the assay device is configured to receive the urine sample such that the urine sample contacts the plurality of predetermined locations, and wherein the assay device reader interrogates the plurality of predetermined locations to generate the assay results. 